diff --git a/lm-evaluation-harness/wandb/run-20240514_163606-zlr6a5tv/files/config.yaml b/lm-evaluation-harness/wandb/run-20240514_163606-zlr6a5tv/files/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9400ed6fb4b71cbea320fefea3535c49fbdff733 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240514_163606-zlr6a5tv/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-zlr6a5tv/files/output.log b/lm-evaluation-harness/wandb/run-20240514_163606-zlr6a5tv/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..b0bc9ce254b685276cc5323b2a2e2037735924ff --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240514_163606-zlr6a5tv/files/output.log @@ -0,0 +1,33 @@ + +2024-05-14:16:36:07,363 INFO [__main__.py:251] Verbosity set to INFO +2024-05-14:16:36:12,019 INFO [__main__.py:335] Selected Tasks: ['indiccopa-hi'] +2024-05-14:16:36:12,021 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 +2024-05-14:16:36:12,021 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-zlr6a5tv/files/requirements.txt b/lm-evaluation-harness/wandb/run-20240514_163606-zlr6a5tv/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..d63edd781bd5bdbb7f67523ac1ba9f0f1ed392dc --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240514_163606-zlr6a5tv/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 +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 +distro==1.9.0 +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 +h11==0.14.0 +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 +httpcore==1.0.5 +httpx==0.27.0 +huggingface-hub==0.23.0 +identify==2.5.35 +idna==3.7 +importlib_resources==6.4.0 +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==0.3.0 +lm_eval==0.4.2 +lm_eval==0.4.2 +lm_eval==0.4.2 +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 +omegaconf==2.3.0 +openai==1.29.0 +packaging==24.0 +pandas==2.0.1 +pathspec==0.12.1 +pathvalidate==3.2.0 +peft==0.10.0 +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==16.0.0 +pyasn1==0.6.0 +pyasn1_modules==0.4.0 +pybind11==2.10.4 +pycountry==23.12.11 +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==2.31.0 +rouge_score==0.1.2 +rsa==4.9 +sacrebleu==1.5.0 +safetensors==0.4.3 +scikit-learn==1.4.2 +scipy==1.13.0 +sentencepiece==0.2.0 +sentry-sdk==2.1.1 +setproctitle==1.3.3 +setuptools==59.6.0 +setuptools==69.5.1 +six==1.16.0 +smmap==5.0.1 +sniffio==1.3.1 +sqlitedict==2.1.0 +symengine==0.11.0 +sympy==1.12 +tabledata==1.3.3 +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==0.19.1 +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==4.40.2 +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-20240514_163606-zlr6a5tv/files/wandb-metadata.json b/lm-evaluation-harness/wandb/run-20240514_163606-zlr6a5tv/files/wandb-metadata.json new file mode 100644 index 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SenderThread:125104 [sender.py:send_request_defer():609] handle sender defer: 1 +2024-05-14 16:36:13,116 INFO SenderThread:125104 [sender.py:transition_state():613] send defer: 2 +2024-05-14 16:36:13,117 DEBUG HandlerThread:125104 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:13,117 INFO HandlerThread:125104 [handler.py:handle_request_defer():184] handle defer: 2 +2024-05-14 16:36:13,117 INFO HandlerThread:125104 [system_monitor.py:finish():203] Stopping system monitor +2024-05-14 16:36:13,117 DEBUG SystemMonitor:125104 [system_monitor.py:_start():172] Starting system metrics aggregation loop +2024-05-14 16:36:13,117 DEBUG SystemMonitor:125104 [system_monitor.py:_start():179] Finished system metrics aggregation loop +2024-05-14 16:36:13,117 INFO HandlerThread:125104 [interfaces.py:finish():200] Joined cpu monitor +2024-05-14 16:36:13,117 DEBUG SystemMonitor:125104 [system_monitor.py:_start():183] Publishing last batch of metrics +2024-05-14 16:36:13,117 INFO HandlerThread:125104 [interfaces.py:finish():200] Joined disk monitor +2024-05-14 16:36:13,119 INFO HandlerThread:125104 [interfaces.py:finish():200] Joined memory monitor +2024-05-14 16:36:13,119 INFO HandlerThread:125104 [interfaces.py:finish():200] Joined network monitor +2024-05-14 16:36:13,119 DEBUG SenderThread:125104 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:13,119 INFO SenderThread:125104 [sender.py:send_request_defer():609] handle sender defer: 2 +2024-05-14 16:36:13,119 INFO SenderThread:125104 [sender.py:transition_state():613] send defer: 3 +2024-05-14 16:36:13,119 DEBUG SenderThread:125104 [sender.py:send():378] send: stats +2024-05-14 16:36:13,119 DEBUG HandlerThread:125104 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:13,120 INFO HandlerThread:125104 [handler.py:handle_request_defer():184] handle defer: 3 +2024-05-14 16:36:13,120 DEBUG SenderThread:125104 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:13,120 INFO SenderThread:125104 [sender.py:send_request_defer():609] handle sender defer: 3 +2024-05-14 16:36:13,120 INFO SenderThread:125104 [sender.py:transition_state():613] send defer: 4 +2024-05-14 16:36:13,120 DEBUG HandlerThread:125104 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:13,120 INFO HandlerThread:125104 [handler.py:handle_request_defer():184] handle defer: 4 +2024-05-14 16:36:13,120 DEBUG SenderThread:125104 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:13,120 INFO SenderThread:125104 [sender.py:send_request_defer():609] handle sender defer: 4 +2024-05-14 16:36:13,120 INFO SenderThread:125104 [sender.py:transition_state():613] send defer: 5 +2024-05-14 16:36:13,120 DEBUG HandlerThread:125104 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:13,120 INFO HandlerThread:125104 [handler.py:handle_request_defer():184] handle defer: 5 +2024-05-14 16:36:13,120 DEBUG SenderThread:125104 [sender.py:send():378] send: summary +2024-05-14 16:36:13,121 INFO SenderThread:125104 [sender.py:_save_file():1389] saving file wandb-summary.json with policy end +2024-05-14 16:36:13,121 DEBUG SenderThread:125104 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:13,121 INFO SenderThread:125104 [sender.py:send_request_defer():609] handle sender defer: 5 +2024-05-14 16:36:13,121 INFO SenderThread:125104 [sender.py:transition_state():613] send defer: 6 +2024-05-14 16:36:13,121 DEBUG HandlerThread:125104 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:13,121 INFO HandlerThread:125104 [handler.py:handle_request_defer():184] handle defer: 6 +2024-05-14 16:36:13,121 DEBUG SenderThread:125104 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:13,121 INFO SenderThread:125104 [sender.py:send_request_defer():609] handle sender defer: 6 +2024-05-14 16:36:13,124 DEBUG HandlerThread:125104 [handler.py:handle_request():158] handle_request: status_report +2024-05-14 16:36:13,209 INFO SenderThread:125104 [sender.py:transition_state():613] send defer: 7 +2024-05-14 16:36:13,209 DEBUG HandlerThread:125104 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:13,210 INFO HandlerThread:125104 [handler.py:handle_request_defer():184] handle defer: 7 +2024-05-14 16:36:13,210 DEBUG SenderThread:125104 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:13,210 INFO SenderThread:125104 [sender.py:send_request_defer():609] handle sender defer: 7 +2024-05-14 16:36:14,003 INFO Thread-12 :125104 [dir_watcher.py:_on_file_modified():288] file/dir modified: /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-zlr6a5tv/files/output.log +2024-05-14 16:36:14,003 INFO Thread-12 :125104 [dir_watcher.py:_on_file_modified():288] file/dir modified: /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-zlr6a5tv/files/config.yaml +2024-05-14 16:36:14,003 INFO Thread-12 :125104 [dir_watcher.py:_on_file_created():271] file/dir created: /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-zlr6a5tv/files/wandb-summary.json +2024-05-14 16:36:14,115 DEBUG HandlerThread:125104 [handler.py:handle_request():158] handle_request: poll_exit +2024-05-14 16:36:15,536 INFO SenderThread:125104 [sender.py:transition_state():613] send defer: 8 +2024-05-14 16:36:15,536 DEBUG SenderThread:125104 [sender.py:send_request():405] send_request: poll_exit +2024-05-14 16:36:15,536 DEBUG HandlerThread:125104 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:15,536 INFO HandlerThread:125104 [handler.py:handle_request_defer():184] handle defer: 8 +2024-05-14 16:36:15,537 DEBUG SenderThread:125104 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:15,537 INFO SenderThread:125104 [sender.py:send_request_defer():609] handle sender defer: 8 +2024-05-14 16:36:15,537 INFO SenderThread:125104 [job_builder.py:build():432] Attempting to build job artifact +2024-05-14 16:36:15,537 INFO SenderThread:125104 [job_builder.py:_get_source_type():576] no source found +2024-05-14 16:36:15,537 INFO SenderThread:125104 [sender.py:transition_state():613] send defer: 9 +2024-05-14 16:36:15,537 DEBUG HandlerThread:125104 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:15,537 INFO HandlerThread:125104 [handler.py:handle_request_defer():184] handle defer: 9 +2024-05-14 16:36:15,537 DEBUG SenderThread:125104 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:15,537 INFO SenderThread:125104 [sender.py:send_request_defer():609] handle sender defer: 9 +2024-05-14 16:36:15,537 INFO SenderThread:125104 [dir_watcher.py:finish():358] shutting down directory watcher +2024-05-14 16:36:16,004 INFO SenderThread:125104 [dir_watcher.py:_on_file_modified():288] file/dir modified: /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-zlr6a5tv/files/output.log +2024-05-14 16:36:16,004 INFO SenderThread:125104 [dir_watcher.py:finish():388] scan: /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-zlr6a5tv/files +2024-05-14 16:36:16,005 INFO SenderThread:125104 [dir_watcher.py:finish():402] scan save: /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-zlr6a5tv/files/wandb-summary.json wandb-summary.json +2024-05-14 16:36:16,005 INFO SenderThread:125104 [dir_watcher.py:finish():402] scan save: /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-zlr6a5tv/files/config.yaml config.yaml +2024-05-14 16:36:16,005 INFO SenderThread:125104 [dir_watcher.py:finish():402] scan save: /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-zlr6a5tv/files/wandb-metadata.json wandb-metadata.json +2024-05-14 16:36:16,005 INFO SenderThread:125104 [dir_watcher.py:finish():402] scan save: /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-zlr6a5tv/files/requirements.txt requirements.txt +2024-05-14 16:36:16,005 INFO SenderThread:125104 [dir_watcher.py:finish():402] scan save: /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-zlr6a5tv/files/output.log output.log +2024-05-14 16:36:16,005 INFO SenderThread:125104 [sender.py:transition_state():613] send defer: 10 +2024-05-14 16:36:16,009 DEBUG HandlerThread:125104 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:16,009 INFO HandlerThread:125104 [handler.py:handle_request_defer():184] handle defer: 10 +2024-05-14 16:36:16,010 DEBUG SenderThread:125104 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:16,011 INFO SenderThread:125104 [sender.py:send_request_defer():609] handle sender defer: 10 +2024-05-14 16:36:16,011 INFO SenderThread:125104 [file_pusher.py:finish():169] shutting down file pusher +2024-05-14 16:36:16,115 DEBUG HandlerThread:125104 [handler.py:handle_request():158] handle_request: poll_exit +2024-05-14 16:36:16,116 DEBUG SenderThread:125104 [sender.py:send_request():405] send_request: poll_exit +2024-05-14 16:36:16,255 INFO wandb-upload_0:125104 [upload_job.py:push():130] Uploaded file /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-zlr6a5tv/files/config.yaml +2024-05-14 16:36:16,513 INFO wandb-upload_1:125104 [upload_job.py:push():130] Uploaded file /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-zlr6a5tv/files/wandb-summary.json +2024-05-14 16:36:16,513 INFO wandb-upload_2:125104 [upload_job.py:push():130] Uploaded file /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-zlr6a5tv/files/requirements.txt +2024-05-14 16:36:16,522 INFO wandb-upload_3:125104 [upload_job.py:push():130] Uploaded file /data/cronscript/lm-evaluation-harness/wandb/run-20240514_163606-zlr6a5tv/files/output.log +2024-05-14 16:36:16,722 INFO Thread-11 (_thread_body):125104 [sender.py:transition_state():613] send defer: 11 +2024-05-14 16:36:16,723 DEBUG HandlerThread:125104 [handler.py:handle_request():158] handle_request: defer 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SenderThread:125104 [file_stream.py:finish():601] file stream finish called +2024-05-14 16:36:16,920 INFO SenderThread:125104 [file_stream.py:finish():605] file stream finish is done +2024-05-14 16:36:16,920 INFO SenderThread:125104 [sender.py:transition_state():613] send defer: 13 +2024-05-14 16:36:16,920 DEBUG HandlerThread:125104 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:16,920 INFO HandlerThread:125104 [handler.py:handle_request_defer():184] handle defer: 13 +2024-05-14 16:36:16,921 DEBUG SenderThread:125104 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:16,921 INFO SenderThread:125104 [sender.py:send_request_defer():609] handle sender defer: 13 +2024-05-14 16:36:16,921 INFO SenderThread:125104 [sender.py:transition_state():613] send defer: 14 +2024-05-14 16:36:16,921 DEBUG HandlerThread:125104 [handler.py:handle_request():158] handle_request: defer +2024-05-14 16:36:16,921 INFO HandlerThread:125104 [handler.py:handle_request_defer():184] handle defer: 14 +2024-05-14 16:36:16,921 DEBUG SenderThread:125104 [sender.py:send():378] send: final +2024-05-14 16:36:16,921 DEBUG SenderThread:125104 [sender.py:send():378] send: footer +2024-05-14 16:36:16,921 DEBUG SenderThread:125104 [sender.py:send_request():405] send_request: defer +2024-05-14 16:36:16,921 INFO SenderThread:125104 [sender.py:send_request_defer():609] handle sender defer: 14 +2024-05-14 16:36:16,922 DEBUG HandlerThread:125104 [handler.py:handle_request():158] handle_request: poll_exit +2024-05-14 16:36:16,922 DEBUG SenderThread:125104 [sender.py:send_request():405] send_request: poll_exit +2024-05-14 16:36:16,922 DEBUG HandlerThread:125104 [handler.py:handle_request():158] handle_request: poll_exit +2024-05-14 16:36:16,922 DEBUG SenderThread:125104 [sender.py:send_request():405] send_request: poll_exit +2024-05-14 16:36:16,922 DEBUG HandlerThread:125104 [handler.py:handle_request():158] handle_request: server_info 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--- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240522_173239-0lgn3ovz/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: 1716399159 + 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_173239-0lgn3ovz/files/output.log b/lm-evaluation-harness/wandb/run-20240522_173239-0lgn3ovz/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..55e8e9ac9df0767b32ec08708a7908d29e96f013 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240522_173239-0lgn3ovz/files/output.log @@ -0,0 +1,43 @@ + +2024-05-22:17:32:39,937 INFO [__main__.py:251] Verbosity set to INFO +2024-05-22:17:32:49,234 INFO [__main__.py:335] Selected Tasks: ['arc_easy', 'hellaswag', 'mrpc', 'openbookqa', 'sst2', 'winogrande'] +2024-05-22:17:32:49,235 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 +2024-05-22:17:32:49,236 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step10000'} +2024-05-22:17:32:51,514 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_173239-0lgn3ovz/files/requirements.txt b/lm-evaluation-harness/wandb/run-20240522_173239-0lgn3ovz/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..a3573b3bbfd5b190fed4ccaed4ac2846002aec22 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240522_173239-0lgn3ovz/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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+ - 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_051317-g4ui0j5u/files/output.log b/lm-evaluation-harness/wandb/run-20240523_051317-g4ui0j5u/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..50bd9f46ab36aedb3dcbabe10349a9a51ef6a016 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_051317-g4ui0j5u/files/output.log @@ -0,0 +1,34 @@ + +2024-05-23:05:13:17,956 INFO [__main__.py:251] Verbosity set to INFO +2024-05-23:05:13:27,137 INFO [__main__.py:335] Selected Tasks: ['arc_easy', 'hellaswag', 'mrpc', 'openbookqa', 'sst2', 'winogrande'] +2024-05-23:05:13:27,138 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 +2024-05-23:05:13:27,139 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step26000'} +2024-05-23:05:13:29,608 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_step26000 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_step26000/tree/main' for available files. \ No newline at end of file diff --git a/lm-evaluation-harness/wandb/run-20240523_051317-g4ui0j5u/files/requirements.txt b/lm-evaluation-harness/wandb/run-20240523_051317-g4ui0j5u/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..8150356038c46ec25f623f6e945d6dcb66a2e717 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_051317-g4ui0j5u/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_051317-g4ui0j5u/run-g4ui0j5u.wandb b/lm-evaluation-harness/wandb/run-20240523_051317-g4ui0j5u/run-g4ui0j5u.wandb new file mode 100644 index 0000000000000000000000000000000000000000..94a79abca5f45ea9f4c89fad71e5a82bf74a1c4d Binary files /dev/null and b/lm-evaluation-harness/wandb/run-20240523_051317-g4ui0j5u/run-g4ui0j5u.wandb differ diff --git a/lm-evaluation-harness/wandb/run-20240523_080059-doz3bxsb/files/config.yaml b/lm-evaluation-harness/wandb/run-20240523_080059-doz3bxsb/files/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..00d26465643c9ab7a1a3b74e1d1170b44c4e6d2a --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_080059-doz3bxsb/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: 1716451259 + 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_080059-doz3bxsb/files/output.log b/lm-evaluation-harness/wandb/run-20240523_080059-doz3bxsb/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..a346d7424db760012be3efe47df42edb25188890 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_080059-doz3bxsb/files/output.log @@ -0,0 +1,34 @@ + +2024-05-23:08:00:59,778 INFO [__main__.py:251] Verbosity set to INFO +2024-05-23:08:01:08,195 INFO [__main__.py:335] Selected Tasks: ['arc_easy', 'hellaswag', 'mrpc', 'openbookqa', 'sst2', 'winogrande'] +2024-05-23:08:01:08,196 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 +2024-05-23:08:01:08,196 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step22000'} +2024-05-23:08:01:10,481 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_step22000 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_step22000/tree/main' for available files. \ No newline at end of file diff --git a/lm-evaluation-harness/wandb/run-20240523_080059-doz3bxsb/files/requirements.txt b/lm-evaluation-harness/wandb/run-20240523_080059-doz3bxsb/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..8150356038c46ec25f623f6e945d6dcb66a2e717 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_080059-doz3bxsb/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 +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 +pillow==10.3.0 +pip==22.0.2 +pip==23.3.1 +platformdirs==4.2.1 +pluggy==1.5.0 +portalocker==2.8.2 +pre-commit==3.3.3 +pretty-errors==1.2.25 +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==8.2.0 +python-dateutil==2.9.0.post0 +pytorch-lightning==2.2.4 +pytz==2024.1 +regex==2023.5.5 +requests-oauthlib==2.0.0 +requests==2.31.0 +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==2.2.1 +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 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diff --git a/lm-evaluation-harness/wandb/run-20240523_080514-kee08np7/files/config.yaml b/lm-evaluation-harness/wandb/run-20240523_080514-kee08np7/files/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a35968557fcd840d79d5ef4cea6ded50d499da98 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_080514-kee08np7/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: 1716451514 + 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_080514-kee08np7/files/output.log b/lm-evaluation-harness/wandb/run-20240523_080514-kee08np7/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..327c5647eb657c10f6deb18e228946607e3c1ca6 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_080514-kee08np7/files/output.log @@ -0,0 +1,34 @@ + +2024-05-23:08:05:15,192 INFO [__main__.py:251] Verbosity set to INFO +2024-05-23:08:05:23,668 INFO [__main__.py:335] Selected Tasks: ['arc_easy', 'hellaswag', 'mrpc', 'openbookqa', 'sst2', 'winogrande'] +2024-05-23:08:05:23,669 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 +2024-05-23:08:05:23,669 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step6000'} +2024-05-23:08:05:26,161 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_step6000 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_step6000/tree/main' for available files. \ No newline at end of file diff --git a/lm-evaluation-harness/wandb/run-20240523_080514-kee08np7/files/requirements.txt b/lm-evaluation-harness/wandb/run-20240523_080514-kee08np7/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..8150356038c46ec25f623f6e945d6dcb66a2e717 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_080514-kee08np7/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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diff --git a/lm-evaluation-harness/wandb/run-20240523_130529-l27vqvhd/files/config.yaml b/lm-evaluation-harness/wandb/run-20240523_130529-l27vqvhd/files/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ada58ecf9f6968db8eb1486d45843db412e2b332 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_130529-l27vqvhd/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: 1716469529 + 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_130529-l27vqvhd/files/output.log b/lm-evaluation-harness/wandb/run-20240523_130529-l27vqvhd/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..744dff37c8be7ad0ac7a499d638a94905cab06f6 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_130529-l27vqvhd/files/output.log @@ -0,0 +1,34 @@ + +2024-05-23:13:05:29,892 INFO [__main__.py:251] Verbosity set to INFO +2024-05-23:13:05:38,340 INFO [__main__.py:335] Selected Tasks: ['arc_easy', 'hellaswag', 'mrpc', 'openbookqa', 'sst2', 'winogrande'] +2024-05-23:13:05:38,342 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 +2024-05-23:13:05:38,342 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step16000'} +2024-05-23:13:05:40,618 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_step16000 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_step16000/tree/main' for available files. \ No newline at end of file diff --git a/lm-evaluation-harness/wandb/run-20240523_130529-l27vqvhd/files/requirements.txt b/lm-evaluation-harness/wandb/run-20240523_130529-l27vqvhd/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..f675c3016b5332c1acf28f436e0b60adeead9c12 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_130529-l27vqvhd/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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b/lm-evaluation-harness/wandb/run-20240523_130529-l27vqvhd/files/wandb-metadata.json @@ -0,0 +1,850 @@ +{ + "os": "Linux-5.15.0-92-generic-x86_64-with-glibc2.35", + "python": "3.10.12", + "heartbeatAt": "2024-05-23T13:05:29.689876", + "startedAt": "2024-05-23T13:05:29.156459", + "docker": null, + "cuda": null, + "args": [ + "--model", + "hf", + "--model_args", + "pretrained=/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step16000", + "--tasks", + "hellaswag,arc_easy,openbookqa,winogrande,sst2,mrpc", + "--batch_size", + "auto", + "--wandb_args", + "project=bharatgpt,group=trial_expt_2" + ], + "state": "running", + "program": "-m lm_eval.__main__", + "codePathLocal": null, + "git": { + "remote": "https://github.com/EleutherAI/lm-evaluation-harness", + "commit": null + }, + "email": null, + "root": "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness", + "host": "peacock-evaluation-worker-0", + "username": "root", + "executable": "/usr/bin/python3", + 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diff --git a/lm-evaluation-harness/wandb/run-20240523_130650-jvbmcbcd/files/config.yaml b/lm-evaluation-harness/wandb/run-20240523_130650-jvbmcbcd/files/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8dcf9ea0ad0dd681a00d22189ef63ca583c370d0 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_130650-jvbmcbcd/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: 1716469611 + 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_130650-jvbmcbcd/files/output.log b/lm-evaluation-harness/wandb/run-20240523_130650-jvbmcbcd/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..c25208389e0425ad189bc298587ad8be1494c109 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_130650-jvbmcbcd/files/output.log @@ -0,0 +1,34 @@ + +2024-05-23:13:06:51,775 INFO [__main__.py:251] Verbosity set to INFO +2024-05-23:13:07:00,300 INFO [__main__.py:335] Selected Tasks: ['arc_easy', 'hellaswag', 'mrpc', 'openbookqa', 'sst2', 'winogrande'] +2024-05-23:13:07:00,302 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 +2024-05-23:13:07:00,302 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step2000'} +2024-05-23:13:07:02,592 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_step2000 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_step2000/tree/main' for available files. \ No newline at end of file diff --git a/lm-evaluation-harness/wandb/run-20240523_130650-jvbmcbcd/files/requirements.txt b/lm-evaluation-harness/wandb/run-20240523_130650-jvbmcbcd/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..f675c3016b5332c1acf28f436e0b60adeead9c12 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240523_130650-jvbmcbcd/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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diff --git a/lm-evaluation-harness/wandb/run-20240606_033253-tgejm7dv/files/config.yaml b/lm-evaluation-harness/wandb/run-20240606_033253-tgejm7dv/files/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a6f80b934d248f4e363c197cd771c820c87604be --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240606_033253-tgejm7dv/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: 1717644773 + 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-updated/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-20240606_033253-tgejm7dv/files/media/table/evaluation/eval_results_1_5af7fa18aa8a75316edc.table.json b/lm-evaluation-harness/wandb/run-20240606_033253-tgejm7dv/files/media/table/evaluation/eval_results_1_5af7fa18aa8a75316edc.table.json new file mode 100644 index 0000000000000000000000000000000000000000..2ec9cfe047d4b32b8703dabaf1e50d3527e63a9e --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240606_033253-tgejm7dv/files/media/table/evaluation/eval_results_1_5af7fa18aa8a75316edc.table.json @@ -0,0 +1 @@ +{"columns": ["Tasks", "Version", "Filter", "num_fewshot", "Metric", "Value", "Stderr"], "data": [["winogrande", 1.0, "none", 0, "acc", "0.4988161010260458", "0.0141"], ["sst2", 1.0, "none", 0, "acc", "0.5206422018348624", "0.0169"], ["piqa", 1.0, "none", 0, "acc", "0.5174102285092492", "0.0117"], ["piqa", 1.0, "none", 0, "acc_norm", "0.4912948857453754", "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", "0.24957912457912457", "0.0089"], ["indic_arc_challenge_hi", 1.0, "none", 0, "acc", "0.2158703071672355", "0.0120"], ["copa", 1.0, "none", 0, "acc", "0.58", "0.0496"], ["boolq", 2.0, "none", 0, "acc", "0.3782874617737003", "0.0085"], ["arc_easy", 1.0, "none", 0, "acc", "0.2638888888888889", "0.0090"], ["arc_easy", 1.0, "none", 0, "acc_norm", "0.26136363636363635", "0.0090"]]} \ No newline at end of file diff --git a/lm-evaluation-harness/wandb/run-20240606_033253-tgejm7dv/files/output.log b/lm-evaluation-harness/wandb/run-20240606_033253-tgejm7dv/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..0e4f155cb57e2c2ec2d3a9bf00bf7af8145f11d5 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240606_033253-tgejm7dv/files/output.log @@ -0,0 +1,811 @@ + +2024-06-06:03:32:53,739 INFO [__main__.py:251] Verbosity set to INFO +2024-06-06:03:33:02,903 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'] +2024-06-06:03:33:02,904 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 +2024-06-06:03:33:02,904 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/eval/checkpoint-enhibn-updated/llamav2-3b/hf/global_step26000', 'tokenizer': '/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k_hf/ConvertedTokenizer'} +2024-06-06:03:33:05,219 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, 11.2MB/s] +Downloading data: 100%|██████████| 331k/331k [00:00<00:00, 718kB/s] +Downloading data: 100%|██████████| 346k/346k [00:00<00:00, 1.77MB/s] +Downloading data: 100%|██████████| 86.1k/86.1k [00:00<00:00, 474kB/s] +Generating train split: 100%|██████████| 2251/2251 [00:00<00:00, 61730.95 examples/s] +Generating test split: 100%|██████████| 2376/2376 [00:00<00:00, 330569.09 examples/s] +Generating validation split: 100%|██████████| 570/570 [00:00<00:00, 149459.44 examples/s] +2024-06-06:03:33:33,000 WARNING [task.py:763] [Task: boolq] metric acc is defined, but aggregation is not. using default aggregation=mean +2024-06-06:03:33:33,001 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, 5.84MB/s] +Downloading readme: 100%|██████████| 18.2k/18.2k [00:00<00:00, 27.8MB/s] +Downloading data: 100%|██████████| 4.12M/4.12M [00:00<00:00, 14.7MB/s] +Generating train split: 100%|██████████| 9427/9427 [00:00<00:00, 22330.04 examples/s] +Generating validation split: 100%|██████████| 3270/3270 [00:00<00:00, 21962.87 examples/s] +Generating test split: 100%|██████████| 3245/3245 [00:00<00:00, 22224.34 examples/s] +2024-06-06:03:33:37,594 WARNING [task.py:763] [Task: copa] metric acc is defined, but aggregation is not. using default aggregation=mean +2024-06-06:03:33:37,595 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, 1.18MB/s] +Generating train split: 100%|██████████| 400/400 [00:00<00:00, 16256.05 examples/s] +Generating validation split: 100%|██████████| 100/100 [00:00<00:00, 12668.55 examples/s] +Generating test split: 100%|██████████| 500/500 [00:00<00:00, 17268.75 examples/s] +Downloading readme: 100%|██████████| 2.09k/2.09k [00:00<00:00, 5.36MB/s] +Downloading data: 100%|██████████| 1.73M/1.73M [00:00<00:00, 5.08MB/s] +Downloading data: 100%|██████████| 1.84M/1.84M [00:00<00:00, 9.30MB/s] +Downloading data: 100%|██████████| 473k/473k [00:00<00:00, 3.55MB/s] +Generating train split: 1119 examples [00:00, 22089.83 examples/s] +Generating test split: 1172 examples [00:00, 23913.12 examples/s] +Generating validation split: 299 examples [00:00, 9482.63 examples/s] +2024-06-06:03:33:44,744 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. +2024-06-06:03:33:44,745 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, 5.50MB/s] +Downloading data: 100%|██████████| 3.18M/3.18M [00:00<00:00, 12.8MB/s] +Downloading data: 100%|██████████| 3.37M/3.37M [00:00<00:00, 18.3MB/s] +Downloading data: 100%|██████████| 808k/808k [00:00<00:00, 5.25MB/s] +Generating train split: 100%|██████████| 2251/2251 [00:00<00:00, 34260.77 examples/s] +Generating test split: 100%|██████████| 2376/2376 [00:00<00:00, 35014.30 examples/s] +Generating validation split: 100%|██████████| 570/570 [00:00<00:00, 15570.27 examples/s] +2024-06-06:03:33:48,920 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. +2024-06-06:03:33:48,921 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, 3.99MB/s] +Downloading data: 100%|██████████| 22.1M/22.1M [00:01<00:00, 21.5MB/s] +Downloading data: 100%|██████████| 7.55M/7.55M [00:00<00:00, 21.4MB/s] +Generating train split: 100%|██████████| 9427/9427 [00:00<00:00, 35225.65 examples/s] +Generating validation split: 100%|██████████| 3270/3270 [00:00<00:00, 35425.96 examples/s] +2024-06-06:03:33:53,948 WARNING [task.py:763] [Task: mrpc] metric acc is defined, but aggregation is not. using default aggregation=mean +2024-06-06:03:33:53,948 WARNING [task.py:775] [Task: mrpc] metric acc is defined, but higher_is_better is not. using default higher_is_better=True +2024-06-06:03:33:53,949 WARNING [task.py:763] [Task: mrpc] metric f1 is defined, but aggregation is not. using default aggregation=f1 +2024-06-06:03:33:53,949 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, 527kB/s] +Downloading data: 100%|██████████| 649k/649k [00:00<00:00, 2.03MB/s] +Downloading data: 100%|██████████| 75.7k/75.7k [00:00<00:00, 275kB/s] +Downloading data: 100%|██████████| 308k/308k [00:00<00:00, 1.01MB/s] +Generating train split: 100%|██████████| 3668/3668 [00:00<00:00, 413456.25 examples/s] +Generating validation split: 100%|██████████| 408/408 [00:00<00:00, 178090.96 examples/s] +Generating test split: 100%|██████████| 1725/1725 [00:00<00:00, 391407.87 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, 20.7MB/s] +Downloading readme: 100%|██████████| 8.41k/8.41k [00:00<00:00, 28.1MB/s] +Downloading data: 100%|██████████| 1.82M/1.82M [00:00<00:00, 3.99MB/s] +Downloading data: 100%|██████████| 815k/815k [00:00<00:00, 69.3MB/s] +Generating train split: 100%|██████████| 16113/16113 [00:00<00:00, 23804.04 examples/s] +Generating test split: 100%|██████████| 3084/3084 [00:00<00:00, 23868.21 examples/s] +Generating validation split: 100%|██████████| 1838/1838 [00:00<00:00, 23924.91 examples/s] +2024-06-06:03:34:08,113 WARNING [task.py:763] [Task: sst2] metric acc is defined, but aggregation is not. using default aggregation=mean +2024-06-06:03:34:08,113 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, 8.38MB/s] +Downloading data: 100%|██████████| 72.8k/72.8k [00:00<00:00, 235kB/s] +Downloading data: 100%|██████████| 148k/148k [00:00<00:00, 516kB/s] +Generating train split: 100%|██████████| 67349/67349 [00:00<00:00, 1432857.78 examples/s] +Generating validation split: 100%|██████████| 872/872 [00:00<00:00, 378577.07 examples/s] +Generating test split: 100%|██████████| 1821/1821 [00:00<00:00, 553345.47 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, 12.1MB/s] +Downloading readme: 100%|██████████| 9.97k/9.97k [00:00<00:00, 19.7MB/s] +Downloading data: 100%|██████████| 3.40M/3.40M [00:00<00:00, 6.63MB/s] +Generating train split: 100%|██████████| 40398/40398 [00:01<00:00, 24486.13 examples/s] +Generating test split: 100%|██████████| 1767/1767 [00:00<00:00, 24213.64 examples/s] +Generating validation split: 100%|██████████| 1267/1267 [00:00<00:00, 23996.02 examples/s] +2024-06-06:03:34:23,663 INFO [task.py:395] Building contexts for winogrande on rank 0... +100%|██████████| 1267/1267 [00:00<00:00, 60617.83it/s] +2024-06-06:03:34:23,749 INFO [task.py:395] Building contexts for sst2 on rank 0... +100%|██████████| 872/872 [00:00<00:00, 2560.48it/s] +2024-06-06:03:34:24,118 INFO [task.py:395] Building contexts for piqa on rank 0... +100%|██████████| 408/408 [00:00<00:00, 1858.61it/s]s] +2024-06-06:03:34:25,857 INFO [task.py:395] Building contexts for mrpc on rank 0... +100%|██████████| 408/408 [00:00<00:00, 1858.61it/s]s] +2024-06-06:03:34:26,095 INFO [task.py:395] Building contexts for indic_boolq_hi on rank 0... +100%|██████████| 3270/3270 [00:00<00:00, 3750.50it/s] +2024-06-06:03:34:27,136 INFO [task.py:395] Building contexts for indic_arc_easy_hi on rank 0... + 92%|█████████▏| 2196/2376 [00:02<00:00, 747.18it/s] + 38%|███▊ | 1235/3270 [00:00<00:01, 2027.17it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +Passed argument batch_size = auto:1. Detecting largest batch size +Determined largest batch size: 64 +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] 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+100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +bootstrapping for stddev: f1_score +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +100%|██████████| 3270/3270 [00:01<00:00, 2022.67it/s] +hf (pretrained=/mnt/weka/peacock/experiments/llama/eval/checkpoint-enhibn-updated/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 |0.4988|± |0.0141| +|sst2 | 1|none | 0|acc |0.5206|± |0.0169| +|piqa | 1|none | 0|acc |0.5174|± |0.0117| +| | |none | 0|acc_norm|0.4913|± |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 |0.3783|± |0.0085| +|indic_arc_easy_hi | 1|none | 0|acc |0.2496|± |0.0089| +|indic_arc_challenge_hi| 1|none | 0|acc |0.2159|± |0.0120| +|copa | 1|none | 0|acc |0.5800|± |0.0496| +|boolq | 2|none | 0|acc |0.3783|± |0.0085| +|arc_easy | 1|none | 0|acc |0.2639|± |0.0090| +| | |none | 0|acc_norm|0.2614|± |0.0090| \ No newline at end of file diff --git a/lm-evaluation-harness/wandb/run-20240606_033253-tgejm7dv/files/requirements.txt b/lm-evaluation-harness/wandb/run-20240606_033253-tgejm7dv/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..680d64cdf5c5af3df018c8a9253717859a1fe86b --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240606_033253-tgejm7dv/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==0.23.3 +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 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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-updated/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}} +2024-06-06 04:45:12,807 INFO MainThread:833 [wandb_run.py:_finish():2103] finishing run smlgenai/engl-hi-eval/tgejm7dv +2024-06-06 04:45:12,808 INFO MainThread:833 [wandb_run.py:_atexit_cleanup():2343] got exitcode: 0 +2024-06-06 04:45:12,810 INFO MainThread:833 [wandb_run.py:_restore():2326] restore +2024-06-06 04:45:12,810 INFO MainThread:833 [wandb_run.py:_restore():2332] restore done +2024-06-06 04:45:19,493 INFO MainThread:833 [wandb_run.py:_footer_history_summary_info():3994] rendering history +2024-06-06 04:45:19,493 INFO MainThread:833 [wandb_run.py:_footer_history_summary_info():4026] rendering summary +2024-06-06 04:45:19,500 INFO MainThread:833 [wandb_run.py:_footer_sync_info():3953] logging synced files diff --git a/lm-evaluation-harness/wandb/run-20240606_061005-a998jkug/files/config.yaml b/lm-evaluation-harness/wandb/run-20240606_061005-a998jkug/files/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3dbdb86ec4ecdde7dccaa2e99bac7e203a3f5634 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240606_061005-a998jkug/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: 1717654205 + 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-updated/llamav2-3b/hf/global_step76000,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-20240606_061005-a998jkug/files/media/table/evaluation/eval_results_1_626162fbec1d14cfe847.table.json b/lm-evaluation-harness/wandb/run-20240606_061005-a998jkug/files/media/table/evaluation/eval_results_1_626162fbec1d14cfe847.table.json new file mode 100644 index 0000000000000000000000000000000000000000..6c39863df0bcdac9a55dad0061e1622b57640636 --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240606_061005-a998jkug/files/media/table/evaluation/eval_results_1_626162fbec1d14cfe847.table.json @@ -0,0 +1 @@ +{"columns": ["Tasks", "Version", "Filter", "num_fewshot", "Metric", "Value", "Stderr"], "data": [["winogrande", 1.0, "none", 0, "acc", "0.5153906866614049", "0.0140"], ["sst2", 1.0, "none", 0, "acc", "0.4954128440366973", "0.0169"], ["piqa", 1.0, "none", 0, "acc", "0.5070729053318824", "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", "0.3782874617737003", "0.0085"], ["indic_arc_easy_hi", 1.0, "none", 0, "acc", "0.24621212121212122", "0.0088"], ["indic_arc_challenge_hi", 1.0, "none", 0, "acc", "0.2150170648464164", "0.0120"], ["copa", 1.0, "none", 0, "acc", "0.55", "0.0500"], ["boolq", 2.0, "none", 0, "acc", "0.3785932721712538", "0.0085"], ["arc_easy", 1.0, "none", 0, "acc", "0.26052188552188554", "0.0090"], ["arc_easy", 1.0, "none", 0, "acc_norm", "0.2697811447811448", "0.0091"]]} \ No newline at end of file diff --git a/lm-evaluation-harness/wandb/run-20240606_061005-a998jkug/files/output.log b/lm-evaluation-harness/wandb/run-20240606_061005-a998jkug/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..3c45ae9a78e545fd890eb861ee63a64eae2c665a --- /dev/null +++ b/lm-evaluation-harness/wandb/run-20240606_061005-a998jkug/files/output.log @@ -0,0 +1,730 @@ + +2024-06-06:06:10:06,619 INFO [__main__.py:251] Verbosity set to INFO +2024-06-06:06:10:15,770 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'] +2024-06-06:06:10:15,771 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 +2024-06-06:06:10:15,771 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/eval/checkpoint-enhibn-updated/llamav2-3b/hf/global_step76000', 'tokenizer': '/mnt/weka/peacock/tokenization/trained-tokenizer/enhiben_50k_hf/ConvertedTokenizer'} +2024-06-06:06:10:18,075 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. +2024-06-06:06:10:45,464 WARNING [task.py:763] [Task: boolq] metric acc is defined, but aggregation is not. using default aggregation=mean +2024-06-06:06:10:45,464 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( +2024-06-06:06:10:47,907 WARNING [task.py:763] [Task: copa] metric acc is defined, but aggregation is not. using default aggregation=mean +2024-06-06:06:10:47,908 WARNING [task.py:775] [Task: copa] metric acc is defined, but higher_is_better is not. using default higher_is_better=True +2024-06-06:06:10:52,096 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. +2024-06-06:06:10:52,097 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. +2024-06-06:06:10:54,306 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. +2024-06-06:06:10:54,306 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. +2024-06-06:06:10:56,846 WARNING [task.py:763] [Task: mrpc] metric acc is defined, but aggregation is not. using default aggregation=mean +2024-06-06:06:10:56,847 WARNING [task.py:775] [Task: mrpc] metric acc is defined, but higher_is_better is not. using default higher_is_better=True +2024-06-06:06:10:56,847 WARNING [task.py:763] [Task: mrpc] metric f1 is defined, but aggregation is not. using default aggregation=f1 +2024-06-06:06:10:56,848 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( +2024-06-06:06:11:05,177 WARNING [task.py:763] [Task: sst2] metric acc is defined, but aggregation is not. using default aggregation=mean +2024-06-06:06:11:05,178 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( +2024-06-06:06:11:14,385 INFO [task.py:395] Building contexts for winogrande on rank 0... +100%|██████████| 1267/1267 [00:00<00:00, 69440.12it/s] +2024-06-06:06:11:14,467 INFO [task.py:395] Building contexts for sst2 on rank 0... +100%|██████████| 872/872 [00:00<00:00, 2554.72it/s] +2024-06-06:06:11:14,837 INFO [task.py:395] Building contexts for piqa on rank 0... +100%|██████████| 1838/1838 [00:01<00:00, 1063.83it/s] +2024-06-06:06:11:16,642 INFO [task.py:395] Building contexts for mrpc on rank 0... +100%|██████████| 408/408 [00:00<00:00, 1849.18it/s] +2024-06-06:06:11:16,881 INFO [task.py:395] Building contexts for indic_boolq_hi on rank 0... +100%|██████████| 3270/3270 [00:01<00:00, 3189.84it/s] +2024-06-06:06:11:18,079 INFO [task.py:395] Building contexts for indic_arc_easy_hi on rank 0... + +100%|██████████| 2376/2376 [00:02<00:00, 1128.32it/s] +2024-06-06:06:11:20,421 INFO [task.py:395] Building contexts for indic_arc_challenge_hi on rank 0... +100%|██████████| 1172/1172 [00:01<00:00, 1137.18it/s] +2024-06-06:06:11:21,573 INFO [task.py:395] Building contexts for copa on rank 0... +100%|██████████| 100/100 [00:00<00:00, 61635.62it/s] +2024-06-06:06:11:21,582 INFO [task.py:395] Building contexts for boolq on rank 0... +100%|██████████| 3270/3270 [00:01<00:00, 1991.19it/s] +2024-06-06:06:11:23,359 INFO [task.py:395] Building contexts for arc_easy on rank 0... +100%|██████████| 2376/2376 [00:02<00:00, 1064.72it/s] +2024-06-06:06:11:25,739 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