diff --git a/lm-evaluation-harness/wandb/run-20240514_114312-8j8jwtnn/logs/debug-internal.log b/lm-evaluation-harness/wandb/run-20240514_114312-8j8jwtnn/logs/debug-internal.log new file mode 100644 index 0000000000000000000000000000000000000000..3583aeea49bd3d6941420f4add6532f91537a2f9 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240514_114312-8j8jwtnn/logs/debug-internal.log @@ -0,0 +1,9 @@ +2024-05-14 11:43:12,925 INFO StreamThr :80529 [internal.py:wandb_internal():85] W&B internal server running at pid: 80529, started at: 2024-05-14 11:43:12.924426 +2024-05-14 11:43:12,927 DEBUG HandlerThread:80529 [handler.py:handle_request():158] handle_request: status +2024-05-14 11:43:12,928 INFO WriterThread:80529 [datastore.py:open_for_write():87] open: /data/cronscript/lm-evaluation-harness/wandb/run-20240514_114312-8j8jwtnn/run-8j8jwtnn.wandb +2024-05-14 11:43:12,929 DEBUG SenderThread:80529 [sender.py:send():378] send: header +2024-05-14 11:43:13,928 WARNING StreamThr :80529 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b/lm-evaluation-harness/wandb/run-20240514_163606-ixhvll9q/files/config.yaml @@ -0,0 +1,43 @@ +wandb_version: 1 + +_wandb: + desc: null + value: + python_version: 3.10.12 + cli_version: 0.17.0 + framework: huggingface + huggingface_version: 4.40.2 + is_jupyter_run: false + is_kaggle_kernel: false + start_time: 1715704566 + t: + 1: + - 1 + - 5 + - 11 + - 49 + - 51 + - 53 + - 55 + - 71 + - 98 + - 100 + 2: + - 1 + - 5 + - 11 + - 49 + - 51 + - 53 + - 55 + - 71 + - 98 + - 100 + 3: + - 23 + 4: 3.10.12 + 5: 0.17.0 + 6: 4.40.2 + 8: + - 5 + 13: linux-x86_64 diff --git a/lm-evaluation-harness/wandb/run-20240514_163606-ixhvll9q/files/output.log b/lm-evaluation-harness/wandb/run-20240514_163606-ixhvll9q/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..a4a3c265471eefedf9a5c083096bdc55258eee9b --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240514_163606-ixhvll9q/files/output.log @@ -0,0 +1,33 @@ + +2024-05-14:16:36:07,400 INFO [__main__.py:251] Verbosity set to INFO +2024-05-14:16:36:11,961 INFO [__main__.py:335] Selected Tasks: ['indiccopa-hi'] +2024-05-14:16:36:11,963 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 +2024-05-14:16:36:11,963 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/data/cronscript/ckpts//hf_ckpt//global_step120'} +Traceback (most recent call last): + File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main + return _run_code(code, main_globals, None, + File "/usr/lib/python3.10/runpy.py", line 86, in _run_code + exec(code, run_globals) + File "/data/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 417, in + cli_evaluate() + File "/data/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 341, in cli_evaluate + results = evaluator.simple_evaluate( + File "/data/cronscript/lm-evaluation-harness/lm_eval/utils.py", line 288, in _wrapper + return fn(*args, **kwargs) + File "/data/cronscript/lm-evaluation-harness/lm_eval/evaluator.py", line 180, in simple_evaluate + lm = lm_eval.api.registry.get_model(model).create_from_arg_string( + File "/data/cronscript/lm-evaluation-harness/lm_eval/api/model.py", line 134, in create_from_arg_string + return cls(**args, **args2) + File "/data/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 190, in __init__ + self._get_config( + File "/data/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 471, in _get_config + self._config = transformers.AutoConfig.from_pretrained( + File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py", line 928, in from_pretrained + config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) + File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 631, in get_config_dict + config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) + File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 686, in _get_config_dict + resolved_config_file = cached_file( + File "/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py", line 369, in cached_file + raise EnvironmentError( +OSError: /data/cronscript/ckpts//hf_ckpt//global_step120 does not appear to have a file named config.json. Checkout 'https://huggingface.co//data/cronscript/ckpts//hf_ckpt//global_step120/tree/main' for available files. \ No newline at end of file diff --git a/lm-evaluation-harness/wandb/run-20240514_163606-ixhvll9q/files/requirements.txt b/lm-evaluation-harness/wandb/run-20240514_163606-ixhvll9q/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..d63edd781bd5bdbb7f67523ac1ba9f0f1ed392dc --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240514_163606-ixhvll9q/files/requirements.txt @@ -0,0 +1,163 @@ +DataProperty==1.0.1 +GitPython==3.1.43 +Jinja2==3.1.3 +Markdown==3.6 +MarkupSafe==2.1.5 +Pillow-SIMD==7.0.0.post3 +PyYAML==6.0 +Werkzeug==3.0.2 +absl-py==2.1.0 +accelerate==0.30.1 +aiohttp==3.9.4 +aiosignal==1.3.1 +antlr4-python3-runtime==4.9.3 +anyio==4.3.0 +async-timeout==4.0.3 +attrs==23.2.0 +av==9.2.0 +cachetools==5.3.3 +certifi==2024.2.2 +cffi==1.15.1 +cfgv==3.4.0 +chardet==5.2.0 +charset-normalizer==3.3.2 +click==8.1.7 +cmake==3.29.2 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wandb-summary.json with policy end +2024-05-14 16:36:13,085 INFO SenderThread:125125 [sender.py:send_exit():593] send defer +2024-05-14 16:36:13,085 DEBUG HandlerThread:125125 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:13,085 INFO HandlerThread:125125 [handler.py:handle_request_defer():184] handle defer: 0 +2024-05-14 16:36:13,086 DEBUG SenderThread:125125 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:13,086 INFO SenderThread:125125 [sender.py:send_request_defer():609] handle sender defer: 0 +2024-05-14 16:36:13,086 INFO SenderThread:125125 [sender.py:transition_state():613] send defer: 1 +2024-05-14 16:36:13,086 DEBUG HandlerThread:125125 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:13,086 INFO HandlerThread:125125 [handler.py:handle_request_defer():184] handle defer: 1 +2024-05-14 16:36:13,086 DEBUG SenderThread:125125 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:13,086 INFO 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SystemMonitor:125125 [system_monitor.py:_start():183] Publishing last batch of metrics +2024-05-14 16:36:13,087 INFO HandlerThread:125125 [interfaces.py:finish():200] Joined memory monitor +2024-05-14 16:36:13,088 INFO HandlerThread:125125 [interfaces.py:finish():200] Joined network monitor +2024-05-14 16:36:13,089 DEBUG SenderThread:125125 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:13,089 INFO SenderThread:125125 [sender.py:send_request_defer():609] handle sender defer: 2 +2024-05-14 16:36:13,089 INFO SenderThread:125125 [sender.py:transition_state():613] send defer: 3 +2024-05-14 16:36:13,089 DEBUG SenderThread:125125 [sender.py:send():378] send: stats +2024-05-14 16:36:13,089 DEBUG HandlerThread:125125 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:13,090 INFO HandlerThread:125125 [handler.py:handle_request_defer():184] handle defer: 3 +2024-05-14 16:36:13,090 DEBUG SenderThread:125125 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:13,090 INFO SenderThread:125125 [sender.py:send_request_defer():609] handle sender defer: 3 +2024-05-14 16:36:13,090 INFO SenderThread:125125 [sender.py:transition_state():613] send defer: 4 +2024-05-14 16:36:13,090 DEBUG HandlerThread:125125 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:13,090 INFO HandlerThread:125125 [handler.py:handle_request_defer():184] handle defer: 4 +2024-05-14 16:36:13,090 DEBUG SenderThread:125125 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:13,090 INFO SenderThread:125125 [sender.py:send_request_defer():609] handle sender defer: 4 +2024-05-14 16:36:13,090 INFO SenderThread:125125 [sender.py:transition_state():613] send defer: 5 +2024-05-14 16:36:13,090 DEBUG HandlerThread:125125 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:13,090 INFO HandlerThread:125125 [handler.py:handle_request_defer():184] handle defer: 5 +2024-05-14 16:36:13,090 DEBUG SenderThread:125125 [sender.py:send():378] send: summary +2024-05-14 16:36:13,091 INFO SenderThread:125125 [sender.py:_save_file():1389] saving file wandb-summary.json with policy end +2024-05-14 16:36:13,091 DEBUG SenderThread:125125 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:13,091 INFO SenderThread:125125 [sender.py:send_request_defer():609] handle sender defer: 5 +2024-05-14 16:36:13,091 INFO SenderThread:125125 [sender.py:transition_state():613] send defer: 6 +2024-05-14 16:36:13,091 DEBUG HandlerThread:125125 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:13,091 INFO HandlerThread:125125 [handler.py:handle_request_defer():184] handle defer: 6 +2024-05-14 16:36:13,091 DEBUG SenderThread:125125 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:13,091 INFO SenderThread:125125 [sender.py:send_request_defer():609] handle sender defer: 6 +2024-05-14 16:36:13,094 DEBUG HandlerThread:125125 [handler.py:handle_request():158] handle_request: status_report +2024-05-14 16:36:13,122 INFO Thread-12 :125125 [dir_watcher.py:_on_file_created():271] file/dir created: /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-ixhvll9q/files/wandb-summary.json +2024-05-14 16:36:13,179 INFO SenderThread:125125 [sender.py:transition_state():613] send defer: 7 +2024-05-14 16:36:13,180 DEBUG HandlerThread:125125 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:13,180 INFO HandlerThread:125125 [handler.py:handle_request_defer():184] handle defer: 7 +2024-05-14 16:36:13,180 DEBUG SenderThread:125125 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:13,180 INFO SenderThread:125125 [sender.py:send_request_defer():609] handle sender defer: 7 +2024-05-14 16:36:13,605 INFO SenderThread:125125 [sender.py:transition_state():613] send defer: 8 +2024-05-14 16:36:13,606 DEBUG HandlerThread:125125 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:13,606 INFO HandlerThread:125125 [handler.py:handle_request_defer():184] handle defer: 8 +2024-05-14 16:36:13,606 DEBUG SenderThread:125125 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:13,606 INFO SenderThread:125125 [sender.py:send_request_defer():609] handle sender defer: 8 +2024-05-14 16:36:13,606 INFO SenderThread:125125 [job_builder.py:build():432] Attempting to build job artifact +2024-05-14 16:36:13,607 INFO SenderThread:125125 [job_builder.py:_get_source_type():576] no source found +2024-05-14 16:36:13,607 INFO SenderThread:125125 [sender.py:transition_state():613] send defer: 9 +2024-05-14 16:36:13,607 DEBUG HandlerThread:125125 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:13,607 INFO HandlerThread:125125 [handler.py:handle_request_defer():184] handle defer: 9 +2024-05-14 16:36:13,607 DEBUG SenderThread:125125 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:13,607 INFO SenderThread:125125 [sender.py:send_request_defer():609] handle sender defer: 9 +2024-05-14 16:36:13,607 INFO SenderThread:125125 [dir_watcher.py:finish():358] shutting down directory watcher +2024-05-14 16:36:14,084 DEBUG HandlerThread:125125 [handler.py:handle_request():158] handle_request: poll_exit +2024-05-14 16:36:14,123 INFO SenderThread:125125 [dir_watcher.py:_on_file_modified():288] file/dir modified: /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-ixhvll9q/files/output.log +2024-05-14 16:36:14,123 INFO SenderThread:125125 [dir_watcher.py:_on_file_modified():288] file/dir modified: /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-ixhvll9q/files/config.yaml +2024-05-14 16:36:14,123 INFO SenderThread:125125 [dir_watcher.py:finish():388] scan: /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-ixhvll9q/files +2024-05-14 16:36:14,123 INFO SenderThread:125125 [dir_watcher.py:finish():402] scan save: /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-ixhvll9q/files/wandb-metadata.json wandb-metadata.json +2024-05-14 16:36:14,123 INFO SenderThread:125125 [dir_watcher.py:finish():402] scan save: /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-ixhvll9q/files/config.yaml config.yaml +2024-05-14 16:36:14,123 INFO SenderThread:125125 [dir_watcher.py:finish():402] scan save: /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-ixhvll9q/files/output.log output.log +2024-05-14 16:36:14,123 INFO SenderThread:125125 [dir_watcher.py:finish():402] scan save: /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-ixhvll9q/files/requirements.txt requirements.txt +2024-05-14 16:36:14,125 INFO SenderThread:125125 [dir_watcher.py:finish():402] scan save: /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-ixhvll9q/files/wandb-summary.json wandb-summary.json +2024-05-14 16:36:14,126 INFO SenderThread:125125 [sender.py:transition_state():613] send defer: 10 +2024-05-14 16:36:14,128 DEBUG SenderThread:125125 [sender.py:send_request():405] send_request: poll_exit +2024-05-14 16:36:14,128 DEBUG HandlerThread:125125 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:14,128 INFO HandlerThread:125125 [handler.py:handle_request_defer():184] handle defer: 10 +2024-05-14 16:36:14,128 DEBUG SenderThread:125125 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:14,129 INFO SenderThread:125125 [sender.py:send_request_defer():609] handle sender defer: 10 +2024-05-14 16:36:14,129 INFO SenderThread:125125 [file_pusher.py:finish():169] shutting down file pusher +2024-05-14 16:36:14,359 INFO wandb-upload_1:125125 [upload_job.py:push():130] Uploaded file /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-ixhvll9q/files/output.log +2024-05-14 16:36:14,534 INFO wandb-upload_0:125125 [upload_job.py:push():130] Uploaded file 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sender defer: 11 +2024-05-14 16:36:14,826 INFO SenderThread:125125 [file_pusher.py:join():175] waiting for file pusher +2024-05-14 16:36:14,826 INFO SenderThread:125125 [sender.py:transition_state():613] send defer: 12 +2024-05-14 16:36:14,827 DEBUG HandlerThread:125125 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:14,827 INFO HandlerThread:125125 [handler.py:handle_request_defer():184] handle defer: 12 +2024-05-14 16:36:14,827 DEBUG SenderThread:125125 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:14,827 INFO SenderThread:125125 [sender.py:send_request_defer():609] handle sender defer: 12 +2024-05-14 16:36:14,827 INFO SenderThread:125125 [file_stream.py:finish():601] file stream finish called +2024-05-14 16:36:15,044 INFO SenderThread:125125 [file_stream.py:finish():605] file stream finish is done +2024-05-14 16:36:15,044 INFO SenderThread:125125 [sender.py:transition_state():613] send defer: 13 +2024-05-14 16:36:15,044 DEBUG HandlerThread:125125 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:15,045 INFO HandlerThread:125125 [handler.py:handle_request_defer():184] handle defer: 13 +2024-05-14 16:36:15,045 DEBUG SenderThread:125125 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:15,045 INFO SenderThread:125125 [sender.py:send_request_defer():609] handle sender defer: 13 +2024-05-14 16:36:15,045 INFO SenderThread:125125 [sender.py:transition_state():613] send defer: 14 +2024-05-14 16:36:15,045 DEBUG HandlerThread:125125 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:15,045 INFO HandlerThread:125125 [handler.py:handle_request_defer():184] handle defer: 14 +2024-05-14 16:36:15,045 DEBUG SenderThread:125125 [sender.py:send():378] send: final +2024-05-14 16:36:15,045 DEBUG SenderThread:125125 [sender.py:send():378] send: footer +2024-05-14 16:36:15,045 DEBUG SenderThread:125125 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:15,046 INFO SenderThread:125125 [sender.py:send_request_defer():609] handle sender defer: 14 +2024-05-14 16:36:15,046 DEBUG HandlerThread:125125 [handler.py:handle_request():158] handle_request: poll_exit +2024-05-14 16:36:15,046 DEBUG SenderThread:125125 [sender.py:send_request():405] send_request: poll_exit +2024-05-14 16:36:15,046 DEBUG HandlerThread:125125 [handler.py:handle_request():158] handle_request: poll_exit +2024-05-14 16:36:15,047 DEBUG SenderThread:125125 [sender.py:send_request():405] send_request: poll_exit +2024-05-14 16:36:15,047 DEBUG HandlerThread:125125 [handler.py:handle_request():158] handle_request: server_info +2024-05-14 16:36:15,047 DEBUG SenderThread:125125 [sender.py:send_request():405] send_request: server_info +2024-05-14 16:36:15,048 DEBUG HandlerThread:125125 [handler.py:handle_request():158] handle_request: get_summary +2024-05-14 16:36:15,048 DEBUG HandlerThread:125125 [handler.py:handle_request():158] handle_request: sampled_history +2024-05-14 16:36:15,049 DEBUG HandlerThread:125125 [handler.py:handle_request():158] handle_request: internal_messages +2024-05-14 16:36:15,111 INFO MainThread:125125 [wandb_run.py:_footer_history_summary_info():3994] rendering history +2024-05-14 16:36:15,111 INFO MainThread:125125 [wandb_run.py:_footer_history_summary_info():4026] rendering summary +2024-05-14 16:36:15,111 INFO MainThread:125125 [wandb_run.py:_footer_sync_info():3953] logging synced files +2024-05-14 16:36:15,111 DEBUG HandlerThread:125125 [handler.py:handle_request():158] handle_request: shutdown +2024-05-14 16:36:15,111 INFO HandlerThread:125125 [handler.py:finish():882] shutting down handler +2024-05-14 16:36:16,047 INFO WriterThread:125125 [datastore.py:close():296] close: /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-ixhvll9q/run-ixhvll9q.wandb +2024-05-14 16:36:16,111 INFO SenderThread:125125 [sender.py:finish():1545] shutting down sender +2024-05-14 16:36:16,111 INFO SenderThread:125125 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a/lm-evaluation-harness/wandb/run-20240514_163606-ixhvll9q/run-ixhvll9q.wandb b/lm-evaluation-harness/wandb/run-20240514_163606-ixhvll9q/run-ixhvll9q.wandb new file mode 100644 index 0000000000000000000000000000000000000000..880632f5a186c8a27e9c2af0355f509042d25740 Binary files /dev/null and b/lm-evaluation-harness/wandb/run-20240514_163606-ixhvll9q/run-ixhvll9q.wandb differ diff --git a/lm-evaluation-harness/wandb/run-20240522_173637-ql2pk04i/files/config.yaml b/lm-evaluation-harness/wandb/run-20240522_173637-ql2pk04i/files/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..cceedff51e986b2883b552181575de24dbdee37f --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240522_173637-ql2pk04i/files/config.yaml @@ -0,0 +1,43 @@ +wandb_version: 1 + +_wandb: + desc: null + value: + python_version: 3.10.12 + cli_version: 0.17.0 + framework: huggingface + huggingface_version: 4.41.0 + is_jupyter_run: false + is_kaggle_kernel: false + start_time: 1716399398 + t: + 1: + - 1 + - 5 + - 11 + - 49 + - 51 + - 53 + - 55 + - 71 + - 98 + - 100 + 2: + - 1 + - 5 + - 11 + - 49 + - 51 + - 53 + - 55 + - 71 + - 98 + - 100 + 3: + - 23 + 4: 3.10.12 + 5: 0.17.0 + 6: 4.41.0 + 8: + - 5 + 13: linux-x86_64 diff --git a/lm-evaluation-harness/wandb/run-20240522_173637-ql2pk04i/files/output.log b/lm-evaluation-harness/wandb/run-20240522_173637-ql2pk04i/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..d2b29511bee2dbc1fc00eed6101009bde43358d5 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240522_173637-ql2pk04i/files/output.log @@ -0,0 +1,43 @@ + +2024-05-22:17:36:38,706 INFO [__main__.py:251] Verbosity set to INFO +2024-05-22:17:36:47,194 INFO [__main__.py:335] Selected Tasks: ['arc_easy', 'hellaswag', 'mrpc', 'openbookqa', 'sst2', 'winogrande'] +2024-05-22:17:36:47,195 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 +2024-05-22:17:36:47,195 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step10000'} +2024-05-22:17:36:49,465 INFO [huggingface.py:164] Using device 'cuda' +Traceback (most recent call last): + File "/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py", line 399, in cached_file + resolved_file = hf_hub_download( + File "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn + validate_repo_id(arg_value) + File "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id + raise HFValidationError( +huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step10000'. Use `repo_type` argument if needed. +The above exception was the direct cause of the following exception: +Traceback (most recent call last): + File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main + return _run_code(code, main_globals, None, + File "/usr/lib/python3.10/runpy.py", line 86, in _run_code + exec(code, run_globals) + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 417, in + cli_evaluate() + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 341, in cli_evaluate + results = evaluator.simple_evaluate( + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/utils.py", line 288, in _wrapper + return fn(*args, **kwargs) + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/evaluator.py", line 180, in simple_evaluate + lm = lm_eval.api.registry.get_model(model).create_from_arg_string( + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/api/model.py", line 134, in create_from_arg_string + return cls(**args, **args2) + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 190, in __init__ + self._get_config( + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 471, in _get_config + self._config = transformers.AutoConfig.from_pretrained( + File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py", line 934, in from_pretrained + config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) + File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 632, in get_config_dict + config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) + File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 689, in _get_config_dict + resolved_config_file = cached_file( + File "/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py", line 463, in cached_file + raise EnvironmentError( +OSError: Incorrect path_or_model_id: '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step10000'. Please provide either the path to a local folder or the repo_id of a model on the Hub. \ No newline at end of file diff --git a/lm-evaluation-harness/wandb/run-20240522_173637-ql2pk04i/files/requirements.txt b/lm-evaluation-harness/wandb/run-20240522_173637-ql2pk04i/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..a3573b3bbfd5b190fed4ccaed4ac2846002aec22 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240522_173637-ql2pk04i/files/requirements.txt @@ -0,0 +1,155 @@ +DataProperty==1.0.1 +GitPython==3.1.43 +Jinja2==3.1.4 +Markdown==3.6 +MarkupSafe==2.1.5 +Pillow-SIMD==7.0.0.post3 +PyYAML==6.0 +Werkzeug==3.0.3 +absl-py==2.1.0 +accelerate==0.30.1 +aiohttp==3.9.5 +aiosignal==1.3.1 +async-timeout==4.0.3 +attrs==23.2.0 +av==9.2.0 +cachetools==5.3.3 +certifi==2024.2.2 +cffi==1.15.1 +cfgv==3.4.0 +chardet==5.2.0 +charset-normalizer==3.3.2 +click==8.1.7 +cmake==3.29.2 +colorama==0.4.6 +datasets==2.19.1 +deepspeed==0.12.4+hpu.synapse.v1.15.1 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+_wandb: + desc: null + value: + python_version: 3.10.12 + cli_version: 0.17.0 + framework: huggingface + huggingface_version: 4.41.1 + is_jupyter_run: false + is_kaggle_kernel: false + start_time: 1716440799 + t: + 1: + - 1 + - 5 + - 11 + - 49 + - 51 + - 53 + - 55 + - 71 + - 98 + - 100 + 2: + - 1 + - 5 + - 11 + - 49 + - 51 + - 53 + - 55 + - 71 + - 98 + - 100 + 3: + - 23 + 4: 3.10.12 + 5: 0.17.0 + 6: 4.41.1 + 8: + - 5 + 13: linux-x86_64 diff --git a/lm-evaluation-harness/wandb/run-20240523_050639-f85xq0p4/files/output.log b/lm-evaluation-harness/wandb/run-20240523_050639-f85xq0p4/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..5d6edd7bfd69bb5c92e88a9219fb2c1e65fe7b86 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_050639-f85xq0p4/files/output.log @@ -0,0 +1,34 @@ + +2024-05-23:05:06:40,032 INFO [__main__.py:251] Verbosity set to INFO +2024-05-23:05:06:52,402 INFO [__main__.py:335] Selected Tasks: ['arc_easy', 'hellaswag', 'mrpc', 'openbookqa', 'sst2', 'winogrande'] +2024-05-23:05:06:52,403 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 +2024-05-23:05:06:52,404 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step20000'} +2024-05-23:05:06:55,307 INFO [huggingface.py:164] Using device 'cuda' +Traceback (most recent call last): + File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main + return _run_code(code, main_globals, None, + File "/usr/lib/python3.10/runpy.py", line 86, in _run_code + exec(code, run_globals) + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 417, in + cli_evaluate() + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 341, in cli_evaluate + results = evaluator.simple_evaluate( + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/utils.py", line 288, in _wrapper + return fn(*args, **kwargs) + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/evaluator.py", line 180, in simple_evaluate + lm = lm_eval.api.registry.get_model(model).create_from_arg_string( + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/api/model.py", line 134, in create_from_arg_string + return cls(**args, **args2) + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 190, in __init__ + self._get_config( + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 471, in _get_config + self._config = transformers.AutoConfig.from_pretrained( + File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py", line 934, in from_pretrained + config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) + File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 632, in get_config_dict + config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) + File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 689, in _get_config_dict + resolved_config_file = cached_file( + File "/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py", line 370, in cached_file + raise EnvironmentError( +OSError: /mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step20000 does not appear to have a file named config.json. Checkout 'https://huggingface.co//mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step20000/tree/main' for available files. \ No newline at end of file diff --git a/lm-evaluation-harness/wandb/run-20240523_050639-f85xq0p4/files/requirements.txt b/lm-evaluation-harness/wandb/run-20240523_050639-f85xq0p4/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..8150356038c46ec25f623f6e945d6dcb66a2e717 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_050639-f85xq0p4/files/requirements.txt @@ -0,0 +1,155 @@ +DataProperty==1.0.1 +GitPython==3.1.43 +Jinja2==3.1.4 +Markdown==3.6 +MarkupSafe==2.1.5 +Pillow-SIMD==7.0.0.post3 +PyYAML==6.0 +Werkzeug==3.0.3 +absl-py==2.1.0 +accelerate==0.30.1 +aiohttp==3.9.5 +aiosignal==1.3.1 +async-timeout==4.0.3 +attrs==23.2.0 +av==9.2.0 +cachetools==5.3.3 +certifi==2024.2.2 +cffi==1.15.1 +cfgv==3.4.0 +chardet==5.2.0 +charset-normalizer==3.3.2 +click==8.1.7 +cmake==3.29.2 +colorama==0.4.6 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a/lm-evaluation-harness/wandb/run-20240523_050639-f85xq0p4/run-f85xq0p4.wandb b/lm-evaluation-harness/wandb/run-20240523_050639-f85xq0p4/run-f85xq0p4.wandb new file mode 100644 index 0000000000000000000000000000000000000000..253da6e970067fb84a83dc2a670844b72358b31b Binary files /dev/null and b/lm-evaluation-harness/wandb/run-20240523_050639-f85xq0p4/run-f85xq0p4.wandb differ diff --git a/lm-evaluation-harness/wandb/run-20240523_051106-7pxsx2yu/files/config.yaml b/lm-evaluation-harness/wandb/run-20240523_051106-7pxsx2yu/files/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..fca3bd312a4ad9107fd9e291d9a2c8568cf8dcb7 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_051106-7pxsx2yu/files/config.yaml @@ -0,0 +1,43 @@ +wandb_version: 1 + +_wandb: + desc: null + value: + python_version: 3.10.12 + cli_version: 0.17.0 + framework: huggingface + huggingface_version: 4.41.1 + is_jupyter_run: false + is_kaggle_kernel: false + start_time: 1716441066 + t: + 1: + - 1 + - 5 + - 11 + - 49 + - 51 + - 53 + - 55 + - 71 + - 98 + - 100 + 2: + - 1 + - 5 + - 11 + - 49 + - 51 + - 53 + - 55 + - 71 + - 98 + - 100 + 3: + - 23 + 4: 3.10.12 + 5: 0.17.0 + 6: 4.41.1 + 8: + - 5 + 13: linux-x86_64 diff --git a/lm-evaluation-harness/wandb/run-20240523_051106-7pxsx2yu/files/output.log b/lm-evaluation-harness/wandb/run-20240523_051106-7pxsx2yu/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..aeb50ec5702f4edebb339b27f8d1167319aef938 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_051106-7pxsx2yu/files/output.log @@ -0,0 +1,34 @@ + +2024-05-23:05:11:06,877 INFO [__main__.py:251] Verbosity set to INFO +2024-05-23:05:11:15,376 INFO [__main__.py:335] Selected Tasks: ['arc_easy', 'hellaswag', 'mrpc', 'openbookqa', 'sst2', 'winogrande'] +2024-05-23:05:11:15,377 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 +2024-05-23:05:11:15,377 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step24000'} +2024-05-23:05:11:17,692 INFO [huggingface.py:164] Using device 'cuda' +Traceback (most recent call last): + File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main + return _run_code(code, main_globals, None, + File "/usr/lib/python3.10/runpy.py", line 86, in _run_code + exec(code, run_globals) + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 417, in + cli_evaluate() + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 341, in cli_evaluate + results = evaluator.simple_evaluate( + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/utils.py", line 288, in _wrapper + return fn(*args, **kwargs) + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/evaluator.py", line 180, in simple_evaluate + lm = lm_eval.api.registry.get_model(model).create_from_arg_string( + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/api/model.py", line 134, in create_from_arg_string + return cls(**args, **args2) + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 190, in __init__ + self._get_config( + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 471, in _get_config + self._config = transformers.AutoConfig.from_pretrained( + File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py", line 934, in from_pretrained + config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) + File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 632, in get_config_dict + config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) + File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 689, in _get_config_dict + resolved_config_file = cached_file( + File "/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py", line 370, in cached_file + raise EnvironmentError( +OSError: /mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step24000 does not appear to have a file named config.json. Checkout 'https://huggingface.co//mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step24000/tree/main' for available files. \ No newline at end of file diff --git a/lm-evaluation-harness/wandb/run-20240523_051106-7pxsx2yu/files/requirements.txt b/lm-evaluation-harness/wandb/run-20240523_051106-7pxsx2yu/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..8150356038c46ec25f623f6e945d6dcb66a2e717 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_051106-7pxsx2yu/files/requirements.txt @@ -0,0 +1,155 @@ +DataProperty==1.0.1 +GitPython==3.1.43 +Jinja2==3.1.4 +Markdown==3.6 +MarkupSafe==2.1.5 +Pillow-SIMD==7.0.0.post3 +PyYAML==6.0 +Werkzeug==3.0.3 +absl-py==2.1.0 +accelerate==0.30.1 +aiohttp==3.9.5 +aiosignal==1.3.1 +async-timeout==4.0.3 +attrs==23.2.0 +av==9.2.0 +cachetools==5.3.3 +certifi==2024.2.2 +cffi==1.15.1 +cfgv==3.4.0 +chardet==5.2.0 +charset-normalizer==3.3.2 +click==8.1.7 +cmake==3.29.2 +colorama==0.4.6 +datasets==2.19.1 +deepspeed==0.12.4+hpu.synapse.v1.15.1 +dill==0.3.8 +distlib==0.3.8 +docker-pycreds==0.4.0 +einops==0.8.0 +evaluate==0.4.2 +exceptiongroup==1.2.1 +expecttest==0.2.1 +filelock==3.14.0 +frozenlist==1.4.1 +fsspec==2024.3.1 +gitdb==4.0.11 +google-auth-oauthlib==0.4.6 +google-auth==2.29.0 +grpcio==1.63.0 +habana-media-loader==1.15.1.15 +habana-pyhlml==1.15.1.15 +habana-torch-dataloader==1.15.1.15 +habana-torch-plugin==1.15.1.15 +habana_gpu_migration==1.15.1.15 +habana_quantization_toolkit==1.15.1.15 +hjson==3.1.0 +huggingface-hub==0.23.1 +identify==2.5.36 +idna==3.7 +iniconfig==2.0.0 +joblib==1.4.2 +jsonlines==4.0.0 +lightning-habana==1.4.0 +lightning-utilities==0.11.2 +lightning==2.2.0.post0 +lm_eval==0.4.2 +lm_eval==0.4.2 +lm_eval==0.4.2 +lxml==5.2.2 +mbstrdecoder==1.1.3 +more-itertools==10.2.0 +mpi4py==3.1.4 +mpmath==1.3.0 +multidict==6.0.5 +multiprocess==0.70.16 +networkx==3.3 +ninja==1.11.1.1 +nltk==3.8.1 +nodeenv==1.8.0 +numexpr==2.10.0 +numpy==1.23.5 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diff --git a/lm-evaluation-harness/wandb/run-20240523_051748-1qfz3zld/files/config.yaml b/lm-evaluation-harness/wandb/run-20240523_051748-1qfz3zld/files/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..71e4bbfa9ae2b23fef458a94022ea73d7da15d08 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_051748-1qfz3zld/files/config.yaml @@ -0,0 +1,43 @@ +wandb_version: 1 + +_wandb: + desc: null + value: + python_version: 3.10.12 + cli_version: 0.17.0 + framework: huggingface + huggingface_version: 4.41.1 + is_jupyter_run: false + is_kaggle_kernel: false + start_time: 1716441468 + t: + 1: + - 1 + - 5 + - 11 + - 49 + - 51 + - 53 + - 55 + - 71 + - 98 + - 100 + 2: + - 1 + - 5 + - 11 + - 49 + - 51 + - 53 + - 55 + - 71 + - 98 + - 100 + 3: + - 23 + 4: 3.10.12 + 5: 0.17.0 + 6: 4.41.1 + 8: + - 5 + 13: linux-x86_64 diff --git a/lm-evaluation-harness/wandb/run-20240523_051748-1qfz3zld/files/output.log b/lm-evaluation-harness/wandb/run-20240523_051748-1qfz3zld/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..15c656753bea36ef6f868577291e48d028deda4d --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_051748-1qfz3zld/files/output.log @@ -0,0 +1,34 @@ + +2024-05-23:05:17:49,188 INFO [__main__.py:251] Verbosity set to INFO +2024-05-23:05:17:59,153 INFO [__main__.py:335] Selected Tasks: ['arc_easy', 'hellaswag', 'mrpc', 'openbookqa', 'sst2', 'winogrande'] +2024-05-23:05:17:59,154 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 +2024-05-23:05:17:59,155 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step30000'} +2024-05-23:05:18:01,440 INFO [huggingface.py:164] Using device 'cuda' +Traceback (most recent call last): + File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main + return _run_code(code, main_globals, None, + File "/usr/lib/python3.10/runpy.py", line 86, in _run_code + exec(code, run_globals) + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 417, in + cli_evaluate() + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 341, in cli_evaluate + results = evaluator.simple_evaluate( + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/utils.py", line 288, in _wrapper + return fn(*args, **kwargs) + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/evaluator.py", line 180, in simple_evaluate + lm = lm_eval.api.registry.get_model(model).create_from_arg_string( + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/api/model.py", line 134, in create_from_arg_string + return cls(**args, **args2) + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 190, in __init__ + self._get_config( + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 471, in _get_config + self._config = transformers.AutoConfig.from_pretrained( + File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py", line 934, in from_pretrained + config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) + File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 632, in get_config_dict + config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) + File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 689, in _get_config_dict + resolved_config_file = cached_file( + File "/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py", line 370, in cached_file + raise EnvironmentError( +OSError: 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Checkout 'https://huggingface.co//mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step30000/tree/main' for available files. \ No newline at end of file diff --git a/lm-evaluation-harness/wandb/run-20240523_051748-1qfz3zld/files/requirements.txt b/lm-evaluation-harness/wandb/run-20240523_051748-1qfz3zld/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..8150356038c46ec25f623f6e945d6dcb66a2e717 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_051748-1qfz3zld/files/requirements.txt @@ -0,0 +1,155 @@ +DataProperty==1.0.1 +GitPython==3.1.43 +Jinja2==3.1.4 +Markdown==3.6 +MarkupSafe==2.1.5 +Pillow-SIMD==7.0.0.post3 +PyYAML==6.0 +Werkzeug==3.0.3 +absl-py==2.1.0 +accelerate==0.30.1 +aiohttp==3.9.5 +aiosignal==1.3.1 +async-timeout==4.0.3 +attrs==23.2.0 +av==9.2.0 +cachetools==5.3.3 +certifi==2024.2.2 +cffi==1.15.1 +cfgv==3.4.0 +chardet==5.2.0 +charset-normalizer==3.3.2 +click==8.1.7 +cmake==3.29.2 +colorama==0.4.6 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is_kaggle_kernel: false + start_time: 1716451003 + t: + 1: + - 1 + - 5 + - 11 + - 49 + - 51 + - 53 + - 55 + - 71 + - 98 + - 100 + 2: + - 1 + - 5 + - 11 + - 49 + - 51 + - 53 + - 55 + - 71 + - 98 + - 100 + 3: + - 23 + 4: 3.10.12 + 5: 0.17.0 + 6: 4.41.1 + 8: + - 5 + 13: linux-x86_64 diff --git a/lm-evaluation-harness/wandb/run-20240523_075643-1ipd11uu/files/output.log b/lm-evaluation-harness/wandb/run-20240523_075643-1ipd11uu/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..6987cdcb03996425d81b39aaa98f5f8194117e8c --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_075643-1ipd11uu/files/output.log @@ -0,0 +1,34 @@ + +2024-05-23:07:56:44,141 INFO [__main__.py:251] Verbosity set to INFO +2024-05-23:07:56:53,321 INFO [__main__.py:335] Selected Tasks: ['arc_easy', 'hellaswag', 'mrpc', 'openbookqa', 'sst2', 'winogrande'] +2024-05-23:07:56:53,321 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 +2024-05-23:07:56:53,322 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step12000'} +2024-05-23:07:56:55,738 INFO [huggingface.py:164] Using device 'cuda' +Traceback (most recent call last): + File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main + return _run_code(code, main_globals, None, + File "/usr/lib/python3.10/runpy.py", line 86, in _run_code + exec(code, run_globals) + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 417, in + cli_evaluate() + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 341, in cli_evaluate + results = evaluator.simple_evaluate( + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/utils.py", line 288, in _wrapper + return fn(*args, **kwargs) + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/evaluator.py", line 180, in simple_evaluate + lm = lm_eval.api.registry.get_model(model).create_from_arg_string( + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/api/model.py", line 134, in create_from_arg_string + return cls(**args, **args2) + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 190, in __init__ + self._get_config( + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 471, in _get_config + self._config = transformers.AutoConfig.from_pretrained( + File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py", line 934, in from_pretrained + config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) + File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 632, in get_config_dict + config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) + File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 689, in _get_config_dict + resolved_config_file = cached_file( + File "/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py", line 370, in cached_file + raise EnvironmentError( +OSError: /mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step12000 does not appear to have a file named config.json. Checkout 'https://huggingface.co//mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step12000/tree/main' for available files. \ No newline at end of file diff --git a/lm-evaluation-harness/wandb/run-20240523_075643-1ipd11uu/files/requirements.txt b/lm-evaluation-harness/wandb/run-20240523_075643-1ipd11uu/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..8150356038c46ec25f623f6e945d6dcb66a2e717 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_075643-1ipd11uu/files/requirements.txt @@ -0,0 +1,155 @@ +DataProperty==1.0.1 +GitPython==3.1.43 +Jinja2==3.1.4 +Markdown==3.6 +MarkupSafe==2.1.5 +Pillow-SIMD==7.0.0.post3 +PyYAML==6.0 +Werkzeug==3.0.3 +absl-py==2.1.0 +accelerate==0.30.1 +aiohttp==3.9.5 +aiosignal==1.3.1 +async-timeout==4.0.3 +attrs==23.2.0 +av==9.2.0 +cachetools==5.3.3 +certifi==2024.2.2 +cffi==1.15.1 +cfgv==3.4.0 +chardet==5.2.0 +charset-normalizer==3.3.2 +click==8.1.7 +cmake==3.29.2 +colorama==0.4.6 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b/lm-evaluation-harness/wandb/run-20240523_080431-9wr9a5nn/files/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f0216fe720828adce11d448a78556e27c366816d --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_080431-9wr9a5nn/files/config.yaml @@ -0,0 +1,43 @@ +wandb_version: 1 + +_wandb: + desc: null + value: + python_version: 3.10.12 + cli_version: 0.17.0 + framework: huggingface + huggingface_version: 4.41.1 + is_jupyter_run: false + is_kaggle_kernel: false + start_time: 1716451471 + t: + 1: + - 1 + - 5 + - 11 + - 49 + - 51 + - 53 + - 55 + - 71 + - 98 + - 100 + 2: + - 1 + - 5 + - 11 + - 49 + - 51 + - 53 + - 55 + - 71 + - 98 + - 100 + 3: + - 23 + 4: 3.10.12 + 5: 0.17.0 + 6: 4.41.1 + 8: + - 5 + 13: linux-x86_64 diff --git a/lm-evaluation-harness/wandb/run-20240523_080431-9wr9a5nn/files/output.log b/lm-evaluation-harness/wandb/run-20240523_080431-9wr9a5nn/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..a91e083011e87bc2360582be23991f66cc4cf0f1 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_080431-9wr9a5nn/files/output.log @@ -0,0 +1,34 @@ + +2024-05-23:08:04:32,706 INFO [__main__.py:251] Verbosity set to INFO +2024-05-23:08:04:41,025 INFO [__main__.py:335] Selected Tasks: ['arc_easy', 'hellaswag', 'mrpc', 'openbookqa', 'sst2', 'winogrande'] +2024-05-23:08:04:41,026 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 +2024-05-23:08:04:41,026 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step4000'} +2024-05-23:08:04:43,326 INFO [huggingface.py:164] Using device 'cuda' +Traceback (most recent call last): + File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main + return _run_code(code, main_globals, None, + File "/usr/lib/python3.10/runpy.py", line 86, in _run_code + exec(code, run_globals) + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 417, in + cli_evaluate() + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 341, in cli_evaluate + results = evaluator.simple_evaluate( + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/utils.py", line 288, in _wrapper + return fn(*args, **kwargs) + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/evaluator.py", line 180, in simple_evaluate + lm = lm_eval.api.registry.get_model(model).create_from_arg_string( + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/api/model.py", line 134, in create_from_arg_string + return cls(**args, **args2) + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 190, in __init__ + self._get_config( + File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 471, in _get_config + self._config = transformers.AutoConfig.from_pretrained( + File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py", line 934, in from_pretrained + config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) + File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 632, in get_config_dict + config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) + File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 689, in _get_config_dict + resolved_config_file = cached_file( + File "/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py", line 370, in cached_file + raise EnvironmentError( +OSError: /mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step4000 does not appear to have a file named config.json. Checkout 'https://huggingface.co//mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step4000/tree/main' for available files. \ No newline at end of file diff --git a/lm-evaluation-harness/wandb/run-20240523_080431-9wr9a5nn/files/requirements.txt b/lm-evaluation-harness/wandb/run-20240523_080431-9wr9a5nn/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..8150356038c46ec25f623f6e945d6dcb66a2e717 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_080431-9wr9a5nn/files/requirements.txt @@ -0,0 +1,155 @@ +DataProperty==1.0.1 +GitPython==3.1.43 +Jinja2==3.1.4 +Markdown==3.6 +MarkupSafe==2.1.5 +Pillow-SIMD==7.0.0.post3 +PyYAML==6.0 +Werkzeug==3.0.3 +absl-py==2.1.0 +accelerate==0.30.1 +aiohttp==3.9.5 +aiosignal==1.3.1 +async-timeout==4.0.3 +attrs==23.2.0 +av==9.2.0 +cachetools==5.3.3 +certifi==2024.2.2 +cffi==1.15.1 +cfgv==3.4.0 +chardet==5.2.0 +charset-normalizer==3.3.2 +click==8.1.7 +cmake==3.29.2 +colorama==0.4.6 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--git a/lm-evaluation-harness/wandb/run-20240605_093020-laxetjfu/files/config.yaml b/lm-evaluation-harness/wandb/run-20240605_093020-laxetjfu/files/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..08c96674dc525d65de15deb82060129c9d05aaea --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240605_093020-laxetjfu/files/config.yaml @@ -0,0 +1,375 @@ +wandb_version: 1 + +_wandb: + desc: null + value: + python_version: 3.10.12 + cli_version: 0.17.0 + framework: huggingface + huggingface_version: 4.36.2 + is_jupyter_run: false + is_kaggle_kernel: false + start_time: 1717579820 + t: + 1: + - 1 + - 5 + - 11 + - 49 + - 51 + - 53 + - 55 + - 71 + - 98 + - 100 + 2: + - 1 + - 5 + - 11 + - 49 + - 51 + - 53 + - 55 + - 71 + - 98 + - 100 + 3: + - 2 + - 13 + - 23 + - 62 + 4: 3.10.12 + 5: 0.17.0 + 6: 4.36.2 + 8: + - 5 + 13: linux-x86_64 +task_configs: + desc: null + value: + arc_easy: + task: arc_easy + group: + - ai2_arc + dataset_path: allenai/ai2_arc + dataset_name: ARC-Easy + training_split: train + validation_split: validation + test_split: test + doc_to_text: 'Question: {{question}} + + Answer:' + doc_to_target: '{{choices.label.index(answerKey)}}' + doc_to_choice: '{{choices.text}}' + description: '' + target_delimiter: ' ' + fewshot_delimiter: ' + + + ' + num_fewshot: 0 + metric_list: + - metric: acc + aggregation: mean + higher_is_better: true + - metric: acc_norm + aggregation: mean + higher_is_better: true + output_type: multiple_choice + repeats: 1 + should_decontaminate: true + doc_to_decontamination_query: 'Question: {{question}} + + Answer:' + metadata: + version: 1.0 + boolq: + task: boolq + group: + - super-glue-lm-eval-v1 + dataset_path: super_glue + dataset_name: boolq + training_split: train + validation_split: validation + doc_to_text: '{{passage}} + + Question: {{question}}? + + Answer:' + doc_to_target: label + doc_to_choice: + - 'no' + - 'yes' + description: '' + target_delimiter: ' ' + fewshot_delimiter: ' + + + ' + num_fewshot: 0 + metric_list: + - metric: acc + output_type: multiple_choice + repeats: 1 + should_decontaminate: true + doc_to_decontamination_query: passage + metadata: + version: 2.0 + copa: + task: copa + group: + - super-glue-lm-eval-v1 + dataset_path: super_glue + dataset_name: copa + training_split: train + validation_split: validation + doc_to_text: "def doc_to_text(doc):\n # Drop the period\n connector =\ + \ {\n \"cause\": \"because\",\n \"effect\": \"therefore\",\n\ + \ }[doc[\"question\"]]\n return doc[\"premise\"].strip()[:-1] + f\"\ + \ {connector}\"\n" + doc_to_target: "def doc_to_target(doc):\n correct_choice = doc[\"choice1\"\ + ] if doc[\"label\"] == 0 else doc[\"choice2\"]\n # Connect the sentences\n\ + \ return \" \" + convert_choice(correct_choice)\n" + doc_to_choice: "def doc_to_choice(doc):\n return [\" \" + convert_choice(doc[\"\ + choice1\"]), \" \" + convert_choice(doc[\"choice2\"])]\n" + description: '' + target_delimiter: ' ' + fewshot_delimiter: ' + + + ' + num_fewshot: 0 + metric_list: + - metric: acc + output_type: multiple_choice + repeats: 1 + should_decontaminate: false + metadata: + version: 1.0 + indic_arc_challenge_hi: + task: indic_arc_challenge_hi + group: Cognitive-Lab/Indic-ARC-Challenge + dataset_path: Cognitive-Lab/Indic-ARC-Challenge + dataset_name: hi + test_split: test + doc_to_text: 'Question: {{translated_question}} + + Answer:' + doc_to_target: '{{translated_choices.label.index(answerKey)}}' + doc_to_choice: '{{translated_choices.text}}' + description: '' + target_delimiter: ' ' + fewshot_delimiter: ' + + + ' + num_fewshot: 0 + metric_list: + - metric: acc + aggregation: mean + higher_is_better: true + output_type: multiple_choice + repeats: 1 + should_decontaminate: true + doc_to_decontamination_query: 'Question: {{translated_question}} + + Answer:' + metadata: + version: 1.0 + indic_arc_easy_hi: + task: indic_arc_easy_hi + group: Cognitive-Lab/Indic-ARC-Easy + dataset_path: Cognitive-Lab/Indic-ARC-Easy + dataset_name: hi + test_split: test + doc_to_text: 'Question: {{translated_question}} + + Answer:' + doc_to_target: '{{translated_choices.label.index(answerKey)}}' + doc_to_choice: '{{translated_choices.text}}' + description: '' + target_delimiter: ' ' + fewshot_delimiter: ' + + + ' + num_fewshot: 0 + metric_list: + - metric: acc + aggregation: mean + higher_is_better: true + output_type: multiple_choice + repeats: 1 + should_decontaminate: true + doc_to_decontamination_query: 'Question: {{translated_question}} + + Answer:' + metadata: + version: 1.0 + indic_boolq_hi: + task: indic_boolq_hi + group: Cognitive-Lab/Indic-BoolQ + dataset_path: Cognitive-Lab/Indic-BoolQ + dataset_name: hi + validation_split: validation + doc_to_text: 'Passage: {translated_passage} + + Question: {translated_question.strip()} + + Answer:' + doc_to_target: answer + doc_to_choice: + - 'true' + - 'false' + description: '' + target_delimiter: ' ' + fewshot_delimiter: ' + + + ' + num_fewshot: 0 + metric_list: + - metric: acc + aggregation: mean + higher_is_better: true + output_type: multiple_choice + repeats: 1 + should_decontaminate: false + metadata: + version: 1.0 + mrpc: + task: mrpc + group: glue + dataset_path: glue + dataset_name: mrpc + training_split: train + validation_split: validation + doc_to_text: 'Sentence 1: {{sentence1}} + + Sentence 2: {{sentence2}} + + Question: Do both sentences mean the same thing? + + Answer:' + doc_to_target: label + doc_to_choice: + - 'no' + - 'yes' + description: '' + target_delimiter: ' ' + fewshot_delimiter: ' + + + ' + num_fewshot: 0 + metric_list: + - metric: acc + - metric: f1 + output_type: multiple_choice + repeats: 1 + should_decontaminate: false + metadata: + version: 1.0 + piqa: + task: piqa + dataset_path: piqa + training_split: train + validation_split: validation + doc_to_text: 'Question: {{goal}} + + Answer:' + doc_to_target: label + doc_to_choice: '{{[sol1, sol2]}}' + description: '' + target_delimiter: ' ' + fewshot_delimiter: ' + + + ' + num_fewshot: 0 + metric_list: + - metric: acc + aggregation: mean + higher_is_better: true + - metric: acc_norm + aggregation: mean + higher_is_better: true + output_type: multiple_choice + repeats: 1 + should_decontaminate: true + doc_to_decontamination_query: goal + metadata: + version: 1.0 + sst2: + task: sst2 + group: glue + dataset_path: glue + dataset_name: sst2 + training_split: train + validation_split: validation + doc_to_text: '{{sentence}} + + Question: Is this sentence positive or negative? + + Answer:' + doc_to_target: label + doc_to_choice: + - negative + - positive + description: '' + target_delimiter: ' ' + fewshot_delimiter: ' + + + ' + num_fewshot: 0 + metric_list: + - metric: acc + output_type: multiple_choice + repeats: 1 + should_decontaminate: false + metadata: + version: 1.0 + winogrande: + task: winogrande + dataset_path: winogrande + dataset_name: winogrande_xl + training_split: train + validation_split: validation + doc_to_text: "def doc_to_text(doc):\n answer_to_num = {\"1\": 0, \"2\": 1}\n\ + \ return answer_to_num[doc[\"answer\"]]\n" + doc_to_target: "def doc_to_target(doc):\n idx = doc[\"sentence\"].index(\"\ + _\") + 1\n return doc[\"sentence\"][idx:].strip()\n" + doc_to_choice: "def doc_to_choice(doc):\n idx = doc[\"sentence\"].index(\"\ + _\")\n options = [doc[\"option1\"], doc[\"option2\"]]\n return [doc[\"\ + sentence\"][:idx] + opt for opt in options]\n" + description: '' + target_delimiter: ' ' + fewshot_delimiter: ' + + + ' + num_fewshot: 0 + metric_list: + - metric: acc + aggregation: mean + higher_is_better: true + output_type: multiple_choice + repeats: 1 + should_decontaminate: true + doc_to_decontamination_query: sentence + metadata: + version: 1.0 +cli_configs: + desc: null + value: + model: hf + model_args: pretrained=/mnt/weka/peacock/experiments/llama/eval/checkpoint-enhibn/llamav2-3b/hf/global_step26000,tokenizer=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k_hf/ConvertedTokenizer + batch_size: auto + batch_sizes: + - 64 + device: null + use_cache: null + limit: null + bootstrap_iters: 100000 + gen_kwargs: null diff --git a/lm-evaluation-harness/wandb/run-20240605_093020-laxetjfu/files/media/table/evaluation/eval_results_1_a67742e9c20697a65874.table.json b/lm-evaluation-harness/wandb/run-20240605_093020-laxetjfu/files/media/table/evaluation/eval_results_1_a67742e9c20697a65874.table.json new file mode 100644 index 0000000000000000000000000000000000000000..fd7c34bf1edc4a520035f813fc3815340252c4ee --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240605_093020-laxetjfu/files/media/table/evaluation/eval_results_1_a67742e9c20697a65874.table.json @@ -0,0 +1 @@ +{"columns": ["Tasks", "Version", "Filter", "num_fewshot", "Metric", "Value", "Stderr"], "data": [["winogrande", 1.0, "none", 0, "acc", "0.4696132596685083", "0.0140"], ["sst2", 1.0, "none", 0, "acc", "0.48623853211009177", "0.0169"], ["piqa", 1.0, "none", 0, "acc", "0.515778019586507", "0.0117"], ["piqa", 1.0, "none", 0, "acc_norm", "0.5", "0.0117"], ["mrpc", 1.0, "none", 0, "acc", "0.3161764705882353", "0.0230"], ["mrpc", 1.0, "none", 0, "f1", "0.0", "0.0000"], ["indic_boolq_hi", 1.0, "none", 0, "acc", "0.6217125382262997", "0.0085"], ["indic_arc_easy_hi", 1.0, "none", 0, "acc", "0.2474747474747475", "0.0089"], ["indic_arc_challenge_hi", 1.0, "none", 0, "acc", "0.21843003412969283", "0.0121"], ["copa", 1.0, "none", 0, "acc", "0.63", "0.0485"], ["boolq", 2.0, "none", 0, "acc", "0.37889908256880733", "0.0085"], ["arc_easy", 1.0, "none", 0, "acc", "0.2676767676767677", "0.0091"], ["arc_easy", 1.0, "none", 0, "acc_norm", "0.26052188552188554", "0.0090"]]} \ No newline at end of file diff --git a/lm-evaluation-harness/wandb/run-20240605_093020-laxetjfu/files/output.log b/lm-evaluation-harness/wandb/run-20240605_093020-laxetjfu/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..258d4aaae2b1a34d7d37205748e898e296ff8190 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240605_093020-laxetjfu/files/output.log @@ -0,0 +1,801 @@ + +2024-06-05:09:30:21,496 INFO [__main__.py:251] Verbosity set to INFO +2024-06-05:09:30:30,646 INFO [__main__.py:335] Selected Tasks: ['arc_easy', 'boolq', 'copa', 'indic_arc_challenge_hi', 'indic_arc_easy_hi', 'indic_boolq_hi', 'mrpc', 'piqa', 'sst2', 'winogrande'] +2024-06-05:09:30:30,648 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 +2024-06-05:09:30:30,648 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/eval/checkpoint-enhibn/llamav2-3b/hf/global_step26000', 'tokenizer': '/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k_hf/ConvertedTokenizer'} +2024-06-05:09:30:32,936 INFO [huggingface.py:164] Using device 'cuda' +/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/gpu_migration/torch/cuda/memory.py:36: UserWarning: No need to call empty_cache on HPU. It manages the memory internally in an effcient way. + warnings.warn( +Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. +Downloading readme: 100%|██████████| 9.00k/9.00k [00:00<00:00, 17.1MB/s] +Downloading data: 100%|██████████| 331k/331k [00:00<00:00, 617kB/s] +Downloading data: 100%|██████████| 346k/346k [00:00<00:00, 1.72MB/s] +Downloading data: 100%|██████████| 86.1k/86.1k [00:00<00:00, 444kB/s] +Generating train split: 100%|██████████| 2251/2251 [00:00<00:00, 69289.43 examples/s] +Generating test split: 100%|██████████| 2376/2376 [00:00<00:00, 336894.17 examples/s] +Generating validation split: 100%|██████████| 570/570 [00:00<00:00, 152695.49 examples/s] +2024-06-05:09:31:03,410 WARNING [task.py:763] [Task: boolq] metric acc is defined, but aggregation is not. using default aggregation=mean +2024-06-05:09:31:03,410 WARNING [task.py:775] [Task: boolq] metric acc is defined, but higher_is_better is not. using default higher_is_better=True +/usr/local/lib/python3.10/dist-packages/datasets/load.py:1491: FutureWarning: The repository for super_glue contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/super_glue +You can avoid this message in future by passing the argument `trust_remote_code=True`. +Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`. + warnings.warn( +Downloading builder script: 100%|██████████| 30.7k/30.7k [00:00<00:00, 6.14MB/s] +Downloading readme: 100%|██████████| 18.2k/18.2k [00:00<00:00, 28.8MB/s] +Downloading data: 100%|██████████| 4.12M/4.12M [00:00<00:00, 13.9MB/s] +Generating train split: 100%|██████████| 9427/9427 [00:00<00:00, 22261.28 examples/s] +Generating validation split: 100%|██████████| 3270/3270 [00:00<00:00, 22100.36 examples/s] +Generating test split: 100%|██████████| 3245/3245 [00:00<00:00, 23437.96 examples/s] +2024-06-05:09:31:08,200 WARNING [task.py:763] [Task: copa] metric acc is defined, but aggregation is not. using default aggregation=mean +2024-06-05:09:31:08,201 WARNING [task.py:775] [Task: copa] metric acc is defined, but higher_is_better is not. using default higher_is_better=True +Downloading data: 100%|██████████| 44.0k/44.0k [00:00<00:00, 1.22MB/s] +Generating train split: 100%|██████████| 400/400 [00:00<00:00, 16311.05 examples/s] +Generating validation split: 100%|██████████| 100/100 [00:00<00:00, 12745.55 examples/s] +Generating test split: 100%|██████████| 500/500 [00:00<00:00, 17386.15 examples/s] +Downloading readme: 100%|██████████| 2.09k/2.09k [00:00<00:00, 5.33MB/s] +Downloading data: 100%|██████████| 1.73M/1.73M [00:00<00:00, 4.55MB/s] +Downloading data: 100%|██████████| 1.84M/1.84M [00:00<00:00, 8.73MB/s] +Downloading data: 100%|██████████| 473k/473k [00:00<00:00, 1.44MB/s] +Generating train split: 1119 examples [00:00, 26951.41 examples/s] +Generating test split: 1172 examples [00:00, 23022.10 examples/s] +Generating validation split: 299 examples [00:00, 9576.84 examples/s] +2024-06-05:09:31:15,508 WARNING [task.py:322] [Task: indic_arc_challenge_hi] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended. +2024-06-05:09:31:15,509 WARNING [task.py:322] [Task: indic_arc_challenge_hi] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended. +Downloading readme: 100%|██████████| 2.19k/2.19k [00:00<00:00, 5.58MB/s] +Downloading data: 100%|██████████| 3.18M/3.18M [00:00<00:00, 7.03MB/s] +Downloading data: 100%|██████████| 3.37M/3.37M [00:00<00:00, 10.5MB/s] +Downloading data: 100%|██████████| 808k/808k [00:00<00:00, 4.57MB/s] +Generating train split: 100%|██████████| 2251/2251 [00:00<00:00, 30342.91 examples/s] +Generating test split: 100%|██████████| 2376/2376 [00:00<00:00, 32572.22 examples/s] +Generating validation split: 100%|██████████| 570/570 [00:00<00:00, 19179.73 examples/s] +2024-06-05:09:31:20,224 WARNING [task.py:322] [Task: indic_arc_easy_hi] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended. +2024-06-05:09:31:20,224 WARNING [task.py:322] [Task: indic_arc_easy_hi] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended. +Downloading readme: 100%|██████████| 1.53k/1.53k [00:00<00:00, 9.04MB/s] +Downloading data: 100%|██████████| 22.1M/22.1M [00:00<00:00, 23.7MB/s] +Downloading data: 100%|██████████| 7.55M/7.55M [00:00<00:00, 20.9MB/s] +Generating train split: 100%|██████████| 9427/9427 [00:00<00:00, 35094.06 examples/s] +Generating validation split: 100%|██████████| 3270/3270 [00:00<00:00, 38923.44 examples/s] +2024-06-05:09:31:25,376 WARNING [task.py:763] [Task: mrpc] metric acc is defined, but aggregation is not. using default aggregation=mean +2024-06-05:09:31:25,377 WARNING [task.py:775] [Task: mrpc] metric acc is defined, but higher_is_better is not. using default higher_is_better=True +2024-06-05:09:31:25,377 WARNING [task.py:763] [Task: mrpc] metric f1 is defined, but aggregation is not. using default aggregation=f1 +2024-06-05:09:31:25,378 WARNING [task.py:775] [Task: mrpc] metric f1 is defined, but higher_is_better is not. using default higher_is_better=True +Downloading readme: 100%|██████████| 35.3k/35.3k [00:00<00:00, 505kB/s] +Downloading data: 100%|██████████| 649k/649k [00:00<00:00, 2.03MB/s] +Downloading data: 100%|██████████| 75.7k/75.7k [00:00<00:00, 209kB/s] +Downloading data: 100%|██████████| 308k/308k [00:00<00:00, 984kB/s] +Generating train split: 100%|██████████| 3668/3668 [00:00<00:00, 409243.93 examples/s] +Generating validation split: 100%|██████████| 408/408 [00:00<00:00, 179266.29 examples/s] +Generating test split: 100%|██████████| 1725/1725 [00:00<00:00, 385239.04 examples/s] +/usr/local/lib/python3.10/dist-packages/datasets/load.py:1491: FutureWarning: The repository for piqa contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/piqa +You can avoid this message in future by passing the argument `trust_remote_code=True`. +Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`. + warnings.warn( +Downloading builder script: 100%|██████████| 5.36k/5.36k [00:00<00:00, 12.1MB/s] +Downloading readme: 100%|██████████| 8.41k/8.41k [00:00<00:00, 17.8MB/s] +Downloading data: 100%|██████████| 1.82M/1.82M [00:00<00:00, 3.95MB/s] +Downloading data: 100%|██████████| 815k/815k [00:00<00:00, 62.7MB/s] +Generating train split: 100%|██████████| 16113/16113 [00:00<00:00, 24019.93 examples/s] +Generating test split: 100%|██████████| 3084/3084 [00:00<00:00, 25022.50 examples/s] +Generating validation split: 100%|██████████| 1838/1838 [00:00<00:00, 24106.02 examples/s] +2024-06-05:09:31:39,910 WARNING [task.py:763] [Task: sst2] metric acc is defined, but aggregation is not. using default aggregation=mean +2024-06-05:09:31:39,910 WARNING [task.py:775] [Task: sst2] metric acc is defined, but higher_is_better is not. using default higher_is_better=True +Downloading data: 100%|██████████| 3.11M/3.11M [00:00<00:00, 4.90MB/s] +Downloading data: 100%|██████████| 72.8k/72.8k [00:00<00:00, 251kB/s] +Downloading data: 100%|██████████| 148k/148k [00:00<00:00, 486kB/s] +Generating train split: 100%|██████████| 67349/67349 [00:00<00:00, 1427961.40 examples/s] +Generating validation split: 100%|██████████| 872/872 [00:00<00:00, 382296.76 examples/s] +Generating test split: 100%|██████████| 1821/1821 [00:00<00:00, 555842.19 examples/s] +/usr/local/lib/python3.10/dist-packages/datasets/load.py:1491: FutureWarning: The repository for winogrande contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/winogrande +You can avoid this message in future by passing the argument `trust_remote_code=True`. +Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`. + warnings.warn( +Downloading builder script: 100%|██████████| 5.65k/5.65k [00:00<00:00, 12.7MB/s] +Downloading readme: 100%|██████████| 9.97k/9.97k [00:00<00:00, 19.2MB/s] +Downloading data: 100%|██████████| 3.40M/3.40M [00:00<00:00, 6.89MB/s] +Generating train split: 100%|██████████| 40398/40398 [00:01<00:00, 24557.46 examples/s] +Generating test split: 100%|██████████| 1767/1767 [00:00<00:00, 24586.44 examples/s] +Generating validation split: 100%|██████████| 1267/1267 [00:00<00:00, 24194.31 examples/s] +2024-06-05:09:31:55,815 INFO [task.py:395] Building contexts for winogrande on rank 0... +100%|██████████| 1267/1267 [00:00<00:00, 68796.47it/s] +2024-06-05:09:31:55,900 INFO [task.py:395] Building contexts for sst2 on rank 0... +100%|██████████| 872/872 [00:00<00:00, 2590.56it/s] +2024-06-05:09:31:56,266 INFO [task.py:395] Building contexts for piqa on rank 0... +100%|██████████| 408/408 [00:00<00:00, 1841.01it/s]s] +2024-06-05:09:31:58,042 INFO [task.py:395] Building contexts for mrpc on rank 0... +100%|██████████| 408/408 [00:00<00:00, 1841.01it/s]s] +2024-06-05:09:31:58,283 INFO [task.py:395] Building contexts for indic_boolq_hi on rank 0... +100%|██████████| 3270/3270 [00:00<00:00, 3725.49it/s] +2024-06-05:09:31:59,334 INFO [task.py:395] Building contexts for indic_arc_easy_hi on rank 0... + 82%|████████▏ | 1958/2376 [00:01<00:00, 1136.53it/s] + 12%|█▏ | 406/3270 [00:00<00:01, 2015.87it/s]] +2024-06-05:09:32:02,991 INFO [task.py:395] Building contexts for copa on rank 0... +100%|██████████| 100/100 [00:00<00:00, 62742.02it/s] +2024-06-05:09:32:03,001 INFO [task.py:395] Building contexts for boolq on rank 0... +100%|██████████| 3270/3270 [00:01<00:00, 1912.86it/s] +2024-06-05:09:32:04,867 INFO [task.py:395] Building contexts for arc_easy on rank 0... + 15%|█▍ | 356/2376 [00:00<00:01, 1172.72it/s] +100%|██████████| 3270/3270 [00:01<00:00, 1912.86it/s] +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Passed argument batch_size = auto:1. Detecting largest batch size +Determined largest batch size: 64 +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +bootstrapping for stddev: f1_score +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +hf (pretrained=/mnt/weka/peacock/experiments/llama/eval/checkpoint-enhibn/llamav2-3b/hf/global_step26000,tokenizer=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k_hf/ConvertedTokenizer), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: auto (64) +| Tasks |Version|Filter|n-shot| Metric |Value | |Stderr| +|----------------------|------:|------|-----:|--------|-----:|---|-----:| +|winogrande | 1|none | 0|acc |0.4696|± |0.0140| +|sst2 | 1|none | 0|acc |0.4862|± |0.0169| +|piqa | 1|none | 0|acc |0.5158|± |0.0117| +| | |none | 0|acc_norm|0.5000|± |0.0117| +|mrpc | 1|none | 0|acc |0.3162|± |0.0230| +| | |none | 0|f1 |0.0000|± |0.0000| +|indic_boolq_hi | 1|none | 0|acc |0.6217|± |0.0085| +|indic_arc_easy_hi | 1|none | 0|acc |0.2475|± |0.0089| +|indic_arc_challenge_hi| 1|none | 0|acc |0.2184|± |0.0121| +|copa | 1|none | 0|acc |0.6300|± |0.0485| +|boolq | 2|none | 0|acc |0.3789|± |0.0085| +|arc_easy | 1|none | 0|acc |0.2677|± |0.0091| +| | |none | 0|acc_norm|0.2605|± |0.0090| \ No newline at end of file diff --git a/lm-evaluation-harness/wandb/run-20240605_093020-laxetjfu/files/requirements.txt b/lm-evaluation-harness/wandb/run-20240605_093020-laxetjfu/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..5562eb098e4e60d7167b189b636fafac19cf54c3 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240605_093020-laxetjfu/files/requirements.txt @@ -0,0 +1,153 @@ +DataProperty==1.0.1 +GitPython==3.1.43 +Jinja2==3.1.3 +Markdown==3.6 +MarkupSafe==2.1.5 +Pillow-SIMD==7.0.0.post3 +PyYAML==6.0 +Werkzeug==3.0.2 +absl-py==2.1.0 +accelerate==0.30.1 +aiohttp==3.9.4 +aiosignal==1.3.1 +async-timeout==4.0.3 +attrs==23.2.0 +av==9.2.0 +cachetools==5.3.3 +certifi==2024.2.2 +cffi==1.15.1 +cfgv==3.4.0 +chardet==5.2.0 +charset-normalizer==3.3.2 +click==8.1.7 +cmake==3.29.2 +colorama==0.4.6 +datasets==2.19.2 +deepspeed==0.12.4+hpu.synapse.v1.15.1 +dill==0.3.8 +distlib==0.3.8 +docker-pycreds==0.4.0 +einops==0.8.0 +evaluate==0.4.2 +exceptiongroup==1.2.0 +expecttest==0.2.1 +filelock==3.13.4 +frozenlist==1.4.1 +fsspec==2024.3.1 +gitdb==4.0.11 +google-auth-oauthlib==0.4.6 +google-auth==2.29.0 +grpcio==1.62.1 +habana-media-loader==1.15.1.15 +habana-pyhlml==1.15.1.15 +habana-torch-dataloader==1.15.1.15 +habana-torch-plugin==1.15.1.15 +habana_gpu_migration==1.15.1.15 +habana_quantization_toolkit==1.15.1.15 +hjson==3.1.0 +huggingface-hub==0.23.2 +identify==2.5.35 +idna==3.7 +iniconfig==2.0.0 +joblib==1.4.2 +jsonlines==4.0.0 +lightning-habana==1.4.0 +lightning-utilities==0.11.2 +lightning==2.2.0.post0 +lm_eval==0.4.2 +lm_eval==0.4.2 +lm_eval==0.4.2 +lxml==5.2.2 +mbstrdecoder==1.1.3 +more-itertools==10.2.0 +mpi4py==3.1.4 +mpmath==1.3.0 +multidict==6.0.5 +multiprocess==0.70.16 +networkx==3.3 +ninja==1.11.1.1 +nltk==3.8.1 +nodeenv==1.8.0 +numexpr==2.10.0 +numpy==1.23.5 +oauthlib==3.2.2 +packaging==24.0 +pandas==2.0.1 +pathspec==0.12.1 +pathvalidate==3.2.0 +peft==0.11.1 +perfetto==0.7.0 +pip==22.0.2 +pip==23.3.1 +platformdirs==4.2.0 +pluggy==1.4.0 +portalocker==2.8.2 +pre-commit==3.3.3 +protobuf==3.20.3 +psutil==5.9.8 +py-cpuinfo==9.0.0 +pyarrow-hotfix==0.6 +pyarrow==16.1.0 +pyasn1==0.6.0 +pyasn1_modules==0.4.0 +pybind11==2.10.4 +pycparser==2.22 +pydantic==1.10.13 +pynvml==8.0.4 +pytablewriter==1.2.0 +pytest==8.1.1 +python-dateutil==2.9.0.post0 +pytorch-lightning==2.2.2 +pytz==2024.1 +regex==2023.5.5 +requests-oauthlib==2.0.0 +requests==2.32.3 +rouge_score==0.1.2 +rsa==4.9 +sacrebleu==2.4.2 +safetensors==0.4.3 +scikit-learn==1.5.0 +scipy==1.13.1 +sentencepiece==0.2.0 +sentry-sdk==2.4.0 +setproctitle==1.3.3 +setuptools==59.6.0 +setuptools==69.5.1 +six==1.16.0 +smmap==5.0.1 +sqlitedict==2.1.0 +symengine==0.11.0 +sympy==1.12 +tabledata==1.3.3 +tabulate==0.9.0 +tcolorpy==0.1.6 +tdqm==0.0.1 +tensorboard-data-server==0.6.1 +tensorboard-plugin-wit==1.8.1 +tensorboard==2.11.2 +threadpoolctl==3.5.0 +tokenizers==0.15.2 +tomli==2.0.1 +torch==2.2.0a0+git8964477 +torch_tb_profiler==0.4.0 +torchaudio==2.2.0+08901ad +torchdata==0.7.1+5e6f7b7 +torchmetrics==1.3.2 +torchtext==0.17.0+400da5c +torchvision==0.17.0+b2383d4 +tqdm-multiprocess==0.0.11 +tqdm==4.66.2 +transformers==4.36.2 +typepy==1.3.2 +typing_extensions==4.11.0 +tzdata==2024.1 +urllib3==1.26.18 +virtualenv==20.25.1 +wandb==0.17.0 +wheel==0.37.1 +wheel==0.43.0 +word2number==1.1 +xxhash==3.4.1 +yamllint==1.35.1 +yarl==1.9.4 +zstandard==0.22.0 \ No newline at end of file diff --git a/lm-evaluation-harness/wandb/run-20240605_093020-laxetjfu/files/wandb-metadata.json b/lm-evaluation-harness/wandb/run-20240605_093020-laxetjfu/files/wandb-metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2e367895e374ae6d725ccdbd1485fe568d6a82f3 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240605_093020-laxetjfu/files/wandb-metadata.json @@ -0,0 +1,850 @@ +{ + "os": "Linux-5.15.0-92-generic-x86_64-with-glibc2.35", + "python": 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'arc_easy', 'group': ['ai2_arc'], 'dataset_path': 'allenai/ai2_arc', 'dataset_name': 'ARC-Easy', 'training_split': 'train', 'validation_split': 'validation', 'test_split': 'test', 'doc_to_text': 'Question: {{question}}\nAnswer:', 'doc_to_target': '{{choices.label.index(answerKey)}}', 'doc_to_choice': '{{choices.text}}', 'description': '', 'target_delimiter': ' ', 'fewshot_delimiter': '\n\n', 'num_fewshot': 0, 'metric_list': [{'metric': 'acc', 'aggregation': 'mean', 'higher_is_better': True}, {'metric': 'acc_norm', 'aggregation': 'mean', 'higher_is_better': True}], 'output_type': 'multiple_choice', 'repeats': 1, 'should_decontaminate': True, 'doc_to_decontamination_query': 'Question: {{question}}\nAnswer:', 'metadata': {'version': 1.0}}, 'boolq': {'task': 'boolq', 'group': ['super-glue-lm-eval-v1'], 'dataset_path': 'super_glue', 'dataset_name': 'boolq', 'training_split': 'train', 'validation_split': 'validation', 'doc_to_text': '{{passage}}\nQuestion: {{question}}?\nAnswer:', 'doc_to_target': 'label', 'doc_to_choice': ['no', 'yes'], 'description': '', 'target_delimiter': ' ', 'fewshot_delimiter': '\n\n', 'num_fewshot': 0, 'metric_list': [{'metric': 'acc'}], 'output_type': 'multiple_choice', 'repeats': 1, 'should_decontaminate': True, 'doc_to_decontamination_query': 'passage', 'metadata': {'version': 2.0}}, 'copa': {'task': 'copa', 'group': ['super-glue-lm-eval-v1'], 'dataset_path': 'super_glue', 'dataset_name': 'copa', 'training_split': 'train', 'validation_split': 'validation', 'doc_to_text': 'def doc_to_text(doc):\n # Drop the period\n connector = {\n "cause": "because",\n "effect": "therefore",\n }[doc["question"]]\n return doc["premise"].strip()[:-1] + f" {connector}"\n', 'doc_to_target': 'def doc_to_target(doc):\n correct_choice = doc["choice1"] if doc["label"] == 0 else doc["choice2"]\n # Connect the sentences\n return " " + convert_choice(correct_choice)\n', 'doc_to_choice': 'def doc_to_choice(doc):\n return [" " + convert_choice(doc["choice1"]), " " + convert_choice(doc["choice2"])]\n', 'description': '', 'target_delimiter': ' ', 'fewshot_delimiter': '\n\n', 'num_fewshot': 0, 'metric_list': [{'metric': 'acc'}], 'output_type': 'multiple_choice', 'repeats': 1, 'should_decontaminate': False, 'metadata': {'version': 1.0}}, 'indic_arc_challenge_hi': {'task': 'indic_arc_challenge_hi', 'group': 'Cognitive-Lab/Indic-ARC-Challenge', 'dataset_path': 'Cognitive-Lab/Indic-ARC-Challenge', 'dataset_name': 'hi', 'test_split': 'test', 'doc_to_text': 'Question: {{translated_question}}\nAnswer:', 'doc_to_target': '{{translated_choices.label.index(answerKey)}}', 'doc_to_choice': '{{translated_choices.text}}', 'description': '', 'target_delimiter': ' ', 'fewshot_delimiter': '\n\n', 'num_fewshot': 0, 'metric_list': [{'metric': 'acc', 'aggregation': 'mean', 'higher_is_better': True}], 'output_type': 'multiple_choice', 'repeats': 1, 'should_decontaminate': True, 'doc_to_decontamination_query': 'Question: {{translated_question}}\nAnswer:', 'metadata': {'version': 1.0}}, 'indic_arc_easy_hi': {'task': 'indic_arc_easy_hi', 'group': 'Cognitive-Lab/Indic-ARC-Easy', 'dataset_path': 'Cognitive-Lab/Indic-ARC-Easy', 'dataset_name': 'hi', 'test_split': 'test', 'doc_to_text': 'Question: {{translated_question}}\nAnswer:', 'doc_to_target': '{{translated_choices.label.index(answerKey)}}', 'doc_to_choice': '{{translated_choices.text}}', 'description': '', 'target_delimiter': ' ', 'fewshot_delimiter': '\n\n', 'num_fewshot': 0, 'metric_list': [{'metric': 'acc', 'aggregation': 'mean', 'higher_is_better': True}], 'output_type': 'multiple_choice', 'repeats': 1, 'should_decontaminate': True, 'doc_to_decontamination_query': 'Question: {{translated_question}}\nAnswer:', 'metadata': {'version': 1.0}}, 'indic_boolq_hi': {'task': 'indic_boolq_hi', 'group': 'Cognitive-Lab/Indic-BoolQ', 'dataset_path': 'Cognitive-Lab/Indic-BoolQ', 'dataset_name': 'hi', 'validation_split': 'validation', 'doc_to_text': 'Passage: {translated_passage}\nQuestion: {translated_question.strip()}\nAnswer:', 'doc_to_target': 'answer', 'doc_to_choice': ['true', 'false'], 'description': '', 'target_delimiter': ' ', 'fewshot_delimiter': '\n\n', 'num_fewshot': 0, 'metric_list': [{'metric': 'acc', 'aggregation': 'mean', 'higher_is_better': True}], 'output_type': 'multiple_choice', 'repeats': 1, 'should_decontaminate': False, 'metadata': {'version': 1.0}}, 'mrpc': {'task': 'mrpc', 'group': 'glue', 'dataset_path': 'glue', 'dataset_name': 'mrpc', 'training_split': 'train', 'validation_split': 'validation', 'doc_to_text': 'Sentence 1: {{sentence1}}\nSentence 2: {{sentence2}}\nQuestion: Do both sentences mean the same thing?\nAnswer:', 'doc_to_target': 'label', 'doc_to_choice': ['no', 'yes'], 'description': '', 'target_delimiter': ' ', 'fewshot_delimiter': '\n\n', 'num_fewshot': 0, 'metric_list': [{'metric': 'acc'}, {'metric': 'f1'}], 'output_type': 'multiple_choice', 'repeats': 1, 'should_decontaminate': False, 'metadata': {'version': 1.0}}, 'piqa': {'task': 'piqa', 'dataset_path': 'piqa', 'training_split': 'train', 'validation_split': 'validation', 'doc_to_text': 'Question: {{goal}}\nAnswer:', 'doc_to_target': 'label', 'doc_to_choice': '{{[sol1, sol2]}}', 'description': '', 'target_delimiter': ' ', 'fewshot_delimiter': '\n\n', 'num_fewshot': 0, 'metric_list': [{'metric': 'acc', 'aggregation': 'mean', 'higher_is_better': True}, {'metric': 'acc_norm', 'aggregation': 'mean', 'higher_is_better': True}], 'output_type': 'multiple_choice', 'repeats': 1, 'should_decontaminate': True, 'doc_to_decontamination_query': 'goal', 'metadata': {'version': 1.0}}, 'sst2': {'task': 'sst2', 'group': 'glue', 'dataset_path': 'glue', 'dataset_name': 'sst2', 'training_split': 'train', 'validation_split': 'validation', 'doc_to_text': '{{sentence}}\nQuestion: Is this sentence positive or negative?\nAnswer:', 'doc_to_target': 'label', 'doc_to_choice': ['negative', 'positive'], 'description': '', 'target_delimiter': ' ', 'fewshot_delimiter': '\n\n', 'num_fewshot': 0, 'metric_list': [{'metric': 'acc'}], 'output_type': 'multiple_choice', 'repeats': 1, 'should_decontaminate': False, 'metadata': {'version': 1.0}}, 'winogrande': {'task': 'winogrande', 'dataset_path': 'winogrande', 'dataset_name': 'winogrande_xl', 'training_split': 'train', 'validation_split': 'validation', 'doc_to_text': 'def doc_to_text(doc):\n answer_to_num = {"1": 0, "2": 1}\n return answer_to_num[doc["answer"]]\n', 'doc_to_target': 'def doc_to_target(doc):\n idx = doc["sentence"].index("_") + 1\n return doc["sentence"][idx:].strip()\n', 'doc_to_choice': 'def doc_to_choice(doc):\n idx = doc["sentence"].index("_")\n options = [doc["option1"], doc["option2"]]\n return [doc["sentence"][:idx] + opt for opt in options]\n', 'description': '', 'target_delimiter': ' ', 'fewshot_delimiter': '\n\n', 'num_fewshot': 0, 'metric_list': [{'metric': 'acc', 'aggregation': 'mean', 'higher_is_better': True}], 'output_type': 'multiple_choice', 'repeats': 1, 'should_decontaminate': True, 'doc_to_decontamination_query': 'sentence', 'metadata': {'version': 1.0}}}, 'cli_configs': {'model': 'hf', 'model_args': 'pretrained=/mnt/weka/peacock/experiments/llama/eval/checkpoint-enhibn/llamav2-3b/hf/global_step26000,tokenizer=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k_hf/ConvertedTokenizer', 'batch_size': 'auto', 'batch_sizes': [64], 'device': None, 'use_cache': None, 'limit': None, 'bootstrap_iters': 100000, 'gen_kwargs': None}} +2024-06-05 10:54:04,514 INFO MainThread:957 [wandb_run.py:_finish():2103] finishing run smlgenai/engl-hi-eval/laxetjfu +2024-06-05 10:54:04,514 INFO MainThread:957 [wandb_run.py:_atexit_cleanup():2343] got exitcode: 0 +2024-06-05 10:54:04,515 INFO MainThread:957 [wandb_run.py:_restore():2326] restore +2024-06-05 10:54:04,515 INFO MainThread:957 [wandb_run.py:_restore():2332] restore done +2024-06-05 10:54:10,753 INFO MainThread:957 [wandb_run.py:_footer_history_summary_info():3994] rendering history +2024-06-05 10:54:10,753 INFO MainThread:957 [wandb_run.py:_footer_history_summary_info():4026] rendering summary +2024-06-05 10:54:10,760 INFO MainThread:957 [wandb_run.py:_footer_sync_info():3953] logging synced files diff --git a/lm-evaluation-harness/wandb/run-20240605_140919-mkdnls2x/files/config.yaml b/lm-evaluation-harness/wandb/run-20240605_140919-mkdnls2x/files/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..02bf840024fa138994f89f83f7b2c99993e831d1 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240605_140919-mkdnls2x/files/config.yaml @@ -0,0 +1,375 @@ +wandb_version: 1 + +_wandb: + desc: null + value: + python_version: 3.10.12 + cli_version: 0.17.0 + framework: huggingface + huggingface_version: 4.36.2 + is_jupyter_run: false + is_kaggle_kernel: false + start_time: 1717596559 + t: + 1: + - 1 + - 5 + - 11 + - 49 + - 51 + - 53 + - 55 + - 71 + - 98 + - 100 + 2: + - 1 + - 5 + - 11 + - 49 + - 51 + - 53 + - 55 + - 71 + - 98 + - 100 + 3: + - 2 + - 13 + - 23 + - 62 + 4: 3.10.12 + 5: 0.17.0 + 6: 4.36.2 + 8: + - 5 + 13: linux-x86_64 +task_configs: + desc: null + value: + arc_easy: + task: arc_easy + group: + - ai2_arc + dataset_path: allenai/ai2_arc + dataset_name: ARC-Easy + training_split: train + validation_split: validation + test_split: test + doc_to_text: 'Question: {{question}} + + Answer:' + doc_to_target: '{{choices.label.index(answerKey)}}' + doc_to_choice: '{{choices.text}}' + description: '' + target_delimiter: ' ' + fewshot_delimiter: ' + + + ' + num_fewshot: 0 + metric_list: + - metric: acc + aggregation: mean + higher_is_better: true + - metric: acc_norm + aggregation: mean + higher_is_better: true + output_type: multiple_choice + repeats: 1 + should_decontaminate: true + doc_to_decontamination_query: 'Question: {{question}} + + Answer:' + metadata: + version: 1.0 + boolq: + task: boolq + group: + - super-glue-lm-eval-v1 + dataset_path: super_glue + dataset_name: boolq + training_split: train + validation_split: validation + doc_to_text: '{{passage}} + + Question: {{question}}? + + Answer:' + doc_to_target: label + doc_to_choice: + - 'no' + - 'yes' + description: '' + target_delimiter: ' ' + fewshot_delimiter: ' + + + ' + num_fewshot: 0 + metric_list: + - metric: acc + output_type: multiple_choice + repeats: 1 + should_decontaminate: true + doc_to_decontamination_query: passage + metadata: + version: 2.0 + copa: + task: copa + group: + - super-glue-lm-eval-v1 + dataset_path: super_glue + dataset_name: copa + training_split: train + validation_split: validation + doc_to_text: "def doc_to_text(doc):\n # Drop the period\n connector =\ + \ {\n \"cause\": \"because\",\n \"effect\": \"therefore\",\n\ + \ }[doc[\"question\"]]\n return doc[\"premise\"].strip()[:-1] + f\"\ + \ {connector}\"\n" + doc_to_target: "def doc_to_target(doc):\n correct_choice = doc[\"choice1\"\ + ] if doc[\"label\"] == 0 else doc[\"choice2\"]\n # Connect the sentences\n\ + \ return \" \" + convert_choice(correct_choice)\n" + doc_to_choice: "def doc_to_choice(doc):\n return [\" \" + convert_choice(doc[\"\ + choice1\"]), \" \" + convert_choice(doc[\"choice2\"])]\n" + description: '' + target_delimiter: ' ' + fewshot_delimiter: ' + + + ' + num_fewshot: 0 + metric_list: + - metric: acc + output_type: multiple_choice + repeats: 1 + should_decontaminate: false + metadata: + version: 1.0 + indic_arc_challenge_hi: + task: indic_arc_challenge_hi + group: Cognitive-Lab/Indic-ARC-Challenge + dataset_path: Cognitive-Lab/Indic-ARC-Challenge + dataset_name: hi + test_split: test + doc_to_text: 'Question: {{translated_question}} + + Answer:' + doc_to_target: '{{translated_choices.label.index(answerKey)}}' + doc_to_choice: '{{translated_choices.text}}' + description: '' + target_delimiter: ' ' + fewshot_delimiter: ' + + + ' + num_fewshot: 0 + metric_list: + - metric: acc + aggregation: mean + higher_is_better: true + output_type: multiple_choice + repeats: 1 + should_decontaminate: true + doc_to_decontamination_query: 'Question: {{translated_question}} + + Answer:' + metadata: + version: 1.0 + indic_arc_easy_hi: + task: indic_arc_easy_hi + group: Cognitive-Lab/Indic-ARC-Easy + dataset_path: Cognitive-Lab/Indic-ARC-Easy + dataset_name: hi + test_split: test + doc_to_text: 'Question: {{translated_question}} + + Answer:' + doc_to_target: '{{translated_choices.label.index(answerKey)}}' + doc_to_choice: '{{translated_choices.text}}' + description: '' + target_delimiter: ' ' + fewshot_delimiter: ' + + + ' + num_fewshot: 0 + metric_list: + - metric: acc + aggregation: mean + higher_is_better: true + output_type: multiple_choice + repeats: 1 + should_decontaminate: true + doc_to_decontamination_query: 'Question: {{translated_question}} + + Answer:' + metadata: + version: 1.0 + indic_boolq_hi: + task: indic_boolq_hi + group: Cognitive-Lab/Indic-BoolQ + dataset_path: Cognitive-Lab/Indic-BoolQ + dataset_name: hi + validation_split: validation + doc_to_text: 'Passage: {translated_passage} + + Question: {translated_question.strip()} + + Answer:' + doc_to_target: answer + doc_to_choice: + - 'true' + - 'false' + description: '' + target_delimiter: ' ' + fewshot_delimiter: ' + + + ' + num_fewshot: 0 + metric_list: + - metric: acc + aggregation: mean + higher_is_better: true + output_type: multiple_choice + repeats: 1 + should_decontaminate: false + metadata: + version: 1.0 + mrpc: + task: mrpc + group: glue + dataset_path: glue + dataset_name: mrpc + training_split: train + validation_split: validation + doc_to_text: 'Sentence 1: {{sentence1}} + + Sentence 2: {{sentence2}} + + Question: Do both sentences mean the same thing? + + Answer:' + doc_to_target: label + doc_to_choice: + - 'no' + - 'yes' + description: '' + target_delimiter: ' ' + fewshot_delimiter: ' + + + ' + num_fewshot: 0 + metric_list: + - metric: acc + - metric: f1 + output_type: multiple_choice + repeats: 1 + should_decontaminate: false + metadata: + version: 1.0 + piqa: + task: piqa + dataset_path: piqa + training_split: train + validation_split: validation + doc_to_text: 'Question: {{goal}} + + Answer:' + doc_to_target: label + doc_to_choice: '{{[sol1, sol2]}}' + description: '' + target_delimiter: ' ' + fewshot_delimiter: ' + + + ' + num_fewshot: 0 + metric_list: + - metric: acc + aggregation: mean + higher_is_better: true + - metric: acc_norm + aggregation: mean + higher_is_better: true + output_type: multiple_choice + repeats: 1 + should_decontaminate: true + doc_to_decontamination_query: goal + metadata: + version: 1.0 + sst2: + task: sst2 + group: glue + dataset_path: glue + dataset_name: sst2 + training_split: train + validation_split: validation + doc_to_text: '{{sentence}} + + Question: Is this sentence positive or negative? + + Answer:' + doc_to_target: label + doc_to_choice: + - negative + - positive + description: '' + target_delimiter: ' ' + fewshot_delimiter: ' + + + ' + num_fewshot: 0 + metric_list: + - metric: acc + output_type: multiple_choice + repeats: 1 + should_decontaminate: false + metadata: + version: 1.0 + winogrande: + task: winogrande + dataset_path: winogrande + dataset_name: winogrande_xl + training_split: train + validation_split: validation + doc_to_text: "def doc_to_text(doc):\n answer_to_num = {\"1\": 0, \"2\": 1}\n\ + \ return answer_to_num[doc[\"answer\"]]\n" + doc_to_target: "def doc_to_target(doc):\n idx = doc[\"sentence\"].index(\"\ + _\") + 1\n return doc[\"sentence\"][idx:].strip()\n" + doc_to_choice: "def doc_to_choice(doc):\n idx = doc[\"sentence\"].index(\"\ + _\")\n options = [doc[\"option1\"], doc[\"option2\"]]\n return [doc[\"\ + sentence\"][:idx] + opt for opt in options]\n" + description: '' + target_delimiter: ' ' + fewshot_delimiter: ' + + + ' + num_fewshot: 0 + metric_list: + - metric: acc + aggregation: mean + higher_is_better: true + output_type: multiple_choice + repeats: 1 + should_decontaminate: true + doc_to_decontamination_query: sentence + metadata: + version: 1.0 +cli_configs: + desc: null + value: + model: hf + model_args: pretrained=/mnt/weka/peacock/experiments/llama/eval/checkpoint-enhibn/llamav2-3b/hf/global_step150000,tokenizer=/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k_hf/ConvertedTokenizer + batch_size: auto + batch_sizes: + - 64 + device: null + use_cache: null + limit: null + bootstrap_iters: 100000 + gen_kwargs: null diff --git a/lm-evaluation-harness/wandb/run-20240605_140919-mkdnls2x/files/media/table/evaluation/eval_results_1_b3bbe837603da688e9c4.table.json b/lm-evaluation-harness/wandb/run-20240605_140919-mkdnls2x/files/media/table/evaluation/eval_results_1_b3bbe837603da688e9c4.table.json new file mode 100644 index 0000000000000000000000000000000000000000..8db40978a86d1666d49ba1be9faf2f7f54e6bc04 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240605_140919-mkdnls2x/files/media/table/evaluation/eval_results_1_b3bbe837603da688e9c4.table.json @@ -0,0 +1 @@ +{"columns": ["Tasks", "Version", "Filter", "num_fewshot", "Metric", "Value", "Stderr"], "data": [["winogrande", 1.0, "none", 0, "acc", "0.48224151539068666", "0.0140"], ["sst2", 1.0, "none", 0, "acc", "0.5126146788990825", "0.0169"], ["piqa", 1.0, "none", 0, "acc", "0.5212187159956474", "0.0117"], ["piqa", 1.0, "none", 0, "acc_norm", "0.49020674646354734", "0.0117"], ["mrpc", 1.0, "none", 0, "acc", "0.3161764705882353", "0.0230"], ["mrpc", 1.0, "none", 0, "f1", "0.0", "0.0000"], ["indic_boolq_hi", 1.0, "none", 0, "acc", "0.3782874617737003", "0.0085"], ["indic_arc_easy_hi", 1.0, "none", 0, "acc", "0.25", "0.0089"], ["indic_arc_challenge_hi", 1.0, "none", 0, "acc", "0.2150170648464164", "0.0120"], ["copa", 1.0, "none", 0, "acc", "0.57", "0.0498"], ["boolq", 2.0, "none", 0, "acc", "0.3782874617737003", "0.0085"], ["arc_easy", 1.0, "none", 0, "acc", "0.2647306397306397", "0.0091"], ["arc_easy", 1.0, "none", 0, "acc_norm", "0.26725589225589225", "0.0091"]]} \ No newline at end of file diff --git a/lm-evaluation-harness/wandb/run-20240605_140919-mkdnls2x/files/output.log b/lm-evaluation-harness/wandb/run-20240605_140919-mkdnls2x/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..a108207c8109f8cad599e670240dcca6f78912af --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240605_140919-mkdnls2x/files/output.log @@ -0,0 +1,769 @@ + +2024-06-05:14:09:20,370 INFO [__main__.py:251] Verbosity set to INFO +2024-06-05:14:09:29,452 INFO [__main__.py:335] Selected Tasks: ['arc_easy', 'boolq', 'copa', 'indic_arc_challenge_hi', 'indic_arc_easy_hi', 'indic_boolq_hi', 'mrpc', 'piqa', 'sst2', 'winogrande'] +2024-06-05:14:09:29,453 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 +2024-06-05:14:09:29,453 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/eval/checkpoint-enhibn/llamav2-3b/hf/global_step150000', 'tokenizer': '/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k_hf/ConvertedTokenizer'} +2024-06-05:14:09:31,741 INFO [huggingface.py:164] Using device 'cuda' +/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/gpu_migration/torch/cuda/memory.py:36: UserWarning: No need to call empty_cache on HPU. It manages the memory internally in an effcient way. + warnings.warn( +Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. +2024-06-05:14:10:00,194 WARNING [task.py:763] [Task: boolq] metric acc is defined, but aggregation is not. using default aggregation=mean +2024-06-05:14:10:00,195 WARNING [task.py:775] [Task: boolq] metric acc is defined, but higher_is_better is not. using default higher_is_better=True +/usr/local/lib/python3.10/dist-packages/datasets/load.py:1491: FutureWarning: The repository for super_glue contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/super_glue +You can avoid this message in future by passing the argument `trust_remote_code=True`. +Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`. + warnings.warn( +2024-06-05:14:10:02,623 WARNING [task.py:763] [Task: copa] metric acc is defined, but aggregation is not. using default aggregation=mean +2024-06-05:14:10:02,623 WARNING [task.py:775] [Task: copa] metric acc is defined, but higher_is_better is not. using default higher_is_better=True +2024-06-05:14:10:07,457 WARNING [task.py:322] [Task: indic_arc_challenge_hi] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended. +2024-06-05:14:10:07,457 WARNING [task.py:322] [Task: indic_arc_challenge_hi] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended. +2024-06-05:14:10:10,292 WARNING [task.py:322] [Task: indic_arc_easy_hi] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended. +2024-06-05:14:10:10,293 WARNING [task.py:322] [Task: indic_arc_easy_hi] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended. +2024-06-05:14:10:12,788 WARNING [task.py:763] [Task: mrpc] metric acc is defined, but aggregation is not. using default aggregation=mean +2024-06-05:14:10:12,788 WARNING [task.py:775] [Task: mrpc] metric acc is defined, but higher_is_better is not. using default higher_is_better=True +2024-06-05:14:10:12,789 WARNING [task.py:763] [Task: mrpc] metric f1 is defined, but aggregation is not. using default aggregation=f1 +2024-06-05:14:10:12,789 WARNING [task.py:775] [Task: mrpc] metric f1 is defined, but higher_is_better is not. using default higher_is_better=True +/usr/local/lib/python3.10/dist-packages/datasets/load.py:1491: FutureWarning: The repository for piqa contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/piqa +You can avoid this message in future by passing the argument `trust_remote_code=True`. +Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`. + warnings.warn( +2024-06-05:14:10:21,178 WARNING [task.py:763] [Task: sst2] metric acc is defined, but aggregation is not. using default aggregation=mean +2024-06-05:14:10:21,178 WARNING [task.py:775] [Task: sst2] metric acc is defined, but higher_is_better is not. using default higher_is_better=True +/usr/local/lib/python3.10/dist-packages/datasets/load.py:1491: FutureWarning: The repository for winogrande contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/winogrande +You can avoid this message in future by passing the argument `trust_remote_code=True`. +Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`. + warnings.warn( +2024-06-05:14:10:30,631 INFO [task.py:395] Building contexts for winogrande on rank 0... +100%|██████████| 1267/1267 [00:00<00:00, 69965.81it/s] +2024-06-05:14:10:30,727 INFO [task.py:395] Building contexts for sst2 on rank 0... +100%|██████████| 872/872 [00:00<00:00, 2578.98it/s] +2024-06-05:14:10:31,099 INFO [task.py:395] Building contexts for piqa on rank 0... +100%|██████████| 1838/1838 [00:01<00:00, 1085.57it/s] +2024-06-05:14:10:32,875 INFO [task.py:395] Building contexts for mrpc on rank 0... +100%|██████████| 408/408 [00:00<00:00, 1670.83it/s] +2024-06-05:14:10:33,139 INFO [task.py:395] Building contexts for indic_boolq_hi on rank 0... +100%|██████████| 3270/3270 [00:01<00:00, 3145.40it/s] +2024-06-05:14:10:34,348 INFO [task.py:395] Building contexts for indic_arc_easy_hi on rank 0... +100%|██████████| 2376/2376 [00:02<00:00, 1113.72it/s] +2024-06-05:14:10:36,743 INFO [task.py:395] Building contexts for indic_arc_challenge_hi on rank 0... +100%|██████████| 1172/1172 [00:01<00:00, 1129.38it/s] +2024-06-05:14:10:37,927 INFO [task.py:395] Building contexts for copa on rank 0... +100%|██████████| 100/100 [00:00<00:00, 64917.26it/s] +2024-06-05:14:10:37,947 INFO [task.py:395] Building contexts for boolq on rank 0... +100%|██████████| 3270/3270 [00:01<00:00, 1997.20it/s] +2024-06-05:14:10:39,751 INFO [task.py:395] Building contexts for arc_easy on rank 0... + +100%|██████████| 2376/2376 [00:02<00:00, 1050.28it/s] +2024-06-05:14:10:42,160 INFO [evaluator.py:379] Running loglikelihood requests +Token indices sequence length is longer than the specified maximum sequence length for this model (1333 > 1024). Running this sequence through the model will result in indexing errors +Running loglikelihood requests: 0%| | 0/45739 [00:00