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  1. .gitattributes +3 -0
  2. ckpts/universal/global_step20/zero/26.attention.query_key_value.weight/exp_avg.pt +3 -0
  3. lm-evaluation-harness/wandb/run-20240514_103002-ys1xysw5/files/config.yaml +43 -0
  4. lm-evaluation-harness/wandb/run-20240514_103002-ys1xysw5/files/output.log +28 -0
  5. lm-evaluation-harness/wandb/run-20240514_103002-ys1xysw5/files/requirements.txt +163 -0
  6. lm-evaluation-harness/wandb/run-20240514_103002-ys1xysw5/files/wandb-metadata.json +810 -0
  7. lm-evaluation-harness/wandb/run-20240514_103002-ys1xysw5/files/wandb-summary.json +1 -0
  8. lm-evaluation-harness/wandb/run-20240514_103002-ys1xysw5/logs/debug-internal.log +191 -0
  9. lm-evaluation-harness/wandb/run-20240514_103002-ys1xysw5/logs/debug.log +29 -0
  10. lm-evaluation-harness/wandb/run-20240514_103002-ys1xysw5/run-ys1xysw5.wandb +0 -0
  11. lm-evaluation-harness/wandb/run-20240514_164351-mibaodgl/files/config.yaml +43 -0
  12. lm-evaluation-harness/wandb/run-20240514_164351-mibaodgl/files/output.log +28 -0
  13. lm-evaluation-harness/wandb/run-20240514_164351-mibaodgl/files/requirements.txt +163 -0
  14. lm-evaluation-harness/wandb/run-20240514_164351-mibaodgl/files/wandb-metadata.json +810 -0
  15. lm-evaluation-harness/wandb/run-20240514_164351-mibaodgl/files/wandb-summary.json +1 -0
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  17. lm-evaluation-harness/wandb/run-20240514_164351-mibaodgl/logs/debug.log +29 -0
  18. lm-evaluation-harness/wandb/run-20240514_164351-mibaodgl/run-mibaodgl.wandb +0 -0
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  20. lm-evaluation-harness/wandb/run-20240523_075808-stweehpg/files/config.yaml +43 -0
  21. lm-evaluation-harness/wandb/run-20240523_075808-stweehpg/files/output.log +34 -0
  22. lm-evaluation-harness/wandb/run-20240523_075808-stweehpg/files/requirements.txt +155 -0
  23. lm-evaluation-harness/wandb/run-20240523_075808-stweehpg/files/wandb-metadata.json +850 -0
  24. lm-evaluation-harness/wandb/run-20240523_075808-stweehpg/files/wandb-summary.json +1 -0
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  26. lm-evaluation-harness/wandb/run-20240523_075808-stweehpg/logs/debug.log +29 -0
  27. lm-evaluation-harness/wandb/run-20240523_075808-stweehpg/run-stweehpg.wandb +0 -0
  28. lm-evaluation-harness/wandb/run-20240523_075850-ykmw09h9/files/wandb-metadata.json +850 -0
  29. lm-evaluation-harness/wandb/run-20240523_075850-ykmw09h9/files/wandb-summary.json +1 -0
  30. lm-evaluation-harness/wandb/run-20240523_123651-o53g5hgs/files/config.yaml +43 -0
  31. lm-evaluation-harness/wandb/run-20240523_123651-o53g5hgs/files/output.log +34 -0
  32. lm-evaluation-harness/wandb/run-20240523_123651-o53g5hgs/files/requirements.txt +155 -0
  33. lm-evaluation-harness/wandb/run-20240523_123651-o53g5hgs/files/wandb-metadata.json +850 -0
  34. lm-evaluation-harness/wandb/run-20240523_123651-o53g5hgs/files/wandb-summary.json +1 -0
  35. lm-evaluation-harness/wandb/run-20240523_123651-o53g5hgs/logs/debug-internal.log +184 -0
  36. lm-evaluation-harness/wandb/run-20240523_123651-o53g5hgs/logs/debug.log +29 -0
  37. lm-evaluation-harness/wandb/run-20240523_123651-o53g5hgs/run-o53g5hgs.wandb +0 -0
  38. lm-evaluation-harness/wandb/run-20240523_130243-vlbhvlfm/files/config.yaml +43 -0
  39. lm-evaluation-harness/wandb/run-20240523_130243-vlbhvlfm/files/output.log +34 -0
  40. lm-evaluation-harness/wandb/run-20240523_130243-vlbhvlfm/files/requirements.txt +155 -0
  41. lm-evaluation-harness/wandb/run-20240523_130243-vlbhvlfm/files/wandb-metadata.json +850 -0
  42. lm-evaluation-harness/wandb/run-20240523_130243-vlbhvlfm/files/wandb-summary.json +1 -0
  43. lm-evaluation-harness/wandb/run-20240523_130243-vlbhvlfm/logs/debug-internal.log +185 -0
  44. lm-evaluation-harness/wandb/run-20240523_130243-vlbhvlfm/logs/debug.log +29 -0
  45. lm-evaluation-harness/wandb/run-20240523_130243-vlbhvlfm/run-vlbhvlfm.wandb +0 -0
  46. lm-evaluation-harness/wandb/run-20240529_130528-qqvuwacj/files/config.yaml +283 -0
  47. lm-evaluation-harness/wandb/run-20240529_130528-qqvuwacj/files/media/table/evaluation/eval_results_1_fbb22263b1e18b2e7bbe.table.json +1 -0
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  49. lm-evaluation-harness/wandb/run-20240529_130528-qqvuwacj/files/requirements.txt +154 -0
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+
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+ 2024-05-14:10:30:02,633 INFO [__main__.py:251] Verbosity set to INFO
3
+ 2024-05-14:10:30:07,152 INFO [__main__.py:335] Selected Tasks: ['indiccopa-hi']
4
+ 2024-05-14:10:30:07,154 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
5
+ 2024-05-14:10:30:07,154 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/data/cronscript/ckpts//hf_ckpt//global_step100'}
6
+ /usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/gpu_migration/core/register.py:145: UserWarning: "hpu:X" notation is not supported by Gaudi PyTorch intergration bridge. Please change to "hpu" without index (Triggered internally at /npu-stack/pytorch-integration/pytorch_helpers/lazy_to_backend.cpp:53.)
7
+ return func(*args, **kwargs)
8
+ /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.
9
+ warnings.warn(
10
+ /usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py:158: UserWarning: torch.hpu.setDeterministic is deprecated and will be removed in next release. Please use torch.use_deterministic_algorithms instead.
11
+ warnings.warn(
12
+ You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama.LlamaTokenizer'>. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565
13
+ 2024-05-14:10:30:13,628 WARNING [task.py:763] [Task: indiccopa-hi] metric acc is defined, but aggregation is not. using default aggregation=mean
14
+ 2024-05-14:10:30:13,629 WARNING [task.py:775] [Task: indiccopa-hi] metric acc is defined, but higher_is_better is not. using default higher_is_better=True
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+ [2024-05-14 10:30:13,255] [INFO] [real_accelerator.py:178:get_accelerator] Setting ds_accelerator to hpu (auto detect)
16
+ /usr/local/lib/python3.10/dist-packages/datasets/load.py:1486: FutureWarning: The repository for ai4bharat/IndicCOPA contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/ai4bharat/IndicCOPA
17
+ You can avoid this message in future by passing the argument `trust_remote_code=True`.
18
+ Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.
19
+ warnings.warn(
20
+ 2024-05-14:10:30:15,009 WARNING [task.py:322] [Task: indiccopa-hi] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended.
21
+ 2024-05-14:10:30:15,009 WARNING [task.py:322] [Task: indiccopa-hi] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended.
22
+ 2024-05-14:10:30:15,027 INFO [task.py:395] Building contexts for indiccopa-hi on rank 4...
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+ 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 56/56 [00:00<00:00, 112760.93it/s]
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+ Passed argument batch_size = auto:1. Detecting largest batch size
25
+ 2024-05-14:10:30:16,730 INFO [evaluator.py:379] Running loglikelihood requests
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27
+ warnings.warn(
28
+ Determined largest batch size: 64
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+ framework: huggingface
9
+ huggingface_version: 4.41.1
10
+ is_jupyter_run: false
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+ is_kaggle_kernel: false
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lm-evaluation-harness/wandb/run-20240523_075808-stweehpg/files/output.log ADDED
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1
+
2
+ 2024-05-23:07:58:09,202 INFO [__main__.py:251] Verbosity set to INFO
3
+ 2024-05-23:07:58:17,659 INFO [__main__.py:335] Selected Tasks: ['arc_easy', 'hellaswag', 'mrpc', 'openbookqa', 'sst2', 'winogrande']
4
+ 2024-05-23:07:58:17,660 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
5
+ 2024-05-23:07:58:17,661 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step16000'}
6
+ 2024-05-23:07:58:19,945 INFO [huggingface.py:164] Using device 'cuda'
7
+ Traceback (most recent call last):
8
+ File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
9
+ return _run_code(code, main_globals, None,
10
+ File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
11
+ exec(code, run_globals)
12
+ File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 417, in <module>
13
+ cli_evaluate()
14
+ File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 341, in cli_evaluate
15
+ results = evaluator.simple_evaluate(
16
+ File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/utils.py", line 288, in _wrapper
17
+ return fn(*args, **kwargs)
18
+ File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/evaluator.py", line 180, in simple_evaluate
19
+ lm = lm_eval.api.registry.get_model(model).create_from_arg_string(
20
+ File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/api/model.py", line 134, in create_from_arg_string
21
+ return cls(**args, **args2)
22
+ File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 190, in __init__
23
+ self._get_config(
24
+ File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 471, in _get_config
25
+ self._config = transformers.AutoConfig.from_pretrained(
26
+ File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py", line 934, in from_pretrained
27
+ config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
28
+ File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 632, in get_config_dict
29
+ config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
30
+ File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 689, in _get_config_dict
31
+ resolved_config_file = cached_file(
32
+ File "/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py", line 370, in cached_file
33
+ raise EnvironmentError(
34
+ 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.
lm-evaluation-harness/wandb/run-20240523_075808-stweehpg/files/requirements.txt ADDED
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1
+ DataProperty==1.0.1
2
+ GitPython==3.1.43
3
+ Jinja2==3.1.4
4
+ Markdown==3.6
5
+ MarkupSafe==2.1.5
6
+ Pillow-SIMD==7.0.0.post3
7
+ PyYAML==6.0
8
+ Werkzeug==3.0.3
9
+ absl-py==2.1.0
10
+ accelerate==0.30.1
11
+ aiohttp==3.9.5
12
+ aiosignal==1.3.1
13
+ async-timeout==4.0.3
14
+ attrs==23.2.0
15
+ av==9.2.0
16
+ cachetools==5.3.3
17
+ certifi==2024.2.2
18
+ cffi==1.15.1
19
+ cfgv==3.4.0
20
+ chardet==5.2.0
21
+ charset-normalizer==3.3.2
22
+ click==8.1.7
23
+ cmake==3.29.2
24
+ colorama==0.4.6
25
+ datasets==2.19.1
26
+ deepspeed==0.12.4+hpu.synapse.v1.15.1
27
+ dill==0.3.8
28
+ distlib==0.3.8
29
+ docker-pycreds==0.4.0
30
+ einops==0.8.0
31
+ evaluate==0.4.2
32
+ exceptiongroup==1.2.1
33
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lm-evaluation-harness/wandb/run-20240523_075850-ykmw09h9/files/wandb-summary.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"_wandb": {"runtime": 10}}
lm-evaluation-harness/wandb/run-20240523_123651-o53g5hgs/files/config.yaml ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ wandb_version: 1
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+
3
+ _wandb:
4
+ desc: null
5
+ value:
6
+ python_version: 3.10.12
7
+ cli_version: 0.17.0
8
+ framework: huggingface
9
+ huggingface_version: 4.41.1
10
+ is_jupyter_run: false
11
+ is_kaggle_kernel: false
12
+ start_time: 1716467811
13
+ t:
14
+ 1:
15
+ - 1
16
+ - 5
17
+ - 11
18
+ - 49
19
+ - 51
20
+ - 53
21
+ - 55
22
+ - 71
23
+ - 98
24
+ - 100
25
+ 2:
26
+ - 1
27
+ - 5
28
+ - 11
29
+ - 49
30
+ - 51
31
+ - 53
32
+ - 55
33
+ - 71
34
+ - 98
35
+ - 100
36
+ 3:
37
+ - 23
38
+ 4: 3.10.12
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+ 5: 0.17.0
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+ 6: 4.41.1
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+ 8:
42
+ - 5
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+ 13: linux-x86_64
lm-evaluation-harness/wandb/run-20240523_123651-o53g5hgs/files/output.log ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ 2024-05-23:12:36:52,051 INFO [__main__.py:251] Verbosity set to INFO
3
+ 2024-05-23:12:37:00,494 INFO [__main__.py:335] Selected Tasks: ['arc_easy', 'hellaswag', 'mrpc', 'openbookqa', 'sst2', 'winogrande']
4
+ 2024-05-23:12:37:00,494 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
5
+ 2024-05-23:12:37:00,495 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step28000'}
6
+ 2024-05-23:12:37:02,853 INFO [huggingface.py:164] Using device 'cuda'
7
+ Traceback (most recent call last):
8
+ File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
9
+ return _run_code(code, main_globals, None,
10
+ File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
11
+ exec(code, run_globals)
12
+ File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 417, in <module>
13
+ cli_evaluate()
14
+ File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 341, in cli_evaluate
15
+ results = evaluator.simple_evaluate(
16
+ File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/utils.py", line 288, in _wrapper
17
+ return fn(*args, **kwargs)
18
+ File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/evaluator.py", line 180, in simple_evaluate
19
+ lm = lm_eval.api.registry.get_model(model).create_from_arg_string(
20
+ File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/api/model.py", line 134, in create_from_arg_string
21
+ return cls(**args, **args2)
22
+ File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 190, in __init__
23
+ self._get_config(
24
+ File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 471, in _get_config
25
+ self._config = transformers.AutoConfig.from_pretrained(
26
+ File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py", line 934, in from_pretrained
27
+ config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
28
+ File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 632, in get_config_dict
29
+ config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
30
+ File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 689, in _get_config_dict
31
+ resolved_config_file = cached_file(
32
+ File "/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py", line 370, in cached_file
33
+ raise EnvironmentError(
34
+ OSError: /mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step28000 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_step28000/tree/main' for available files.
lm-evaluation-harness/wandb/run-20240523_123651-o53g5hgs/files/requirements.txt ADDED
@@ -0,0 +1,155 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ DataProperty==1.0.1
2
+ GitPython==3.1.43
3
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1
+
2
+ 2024-05-23:13:02:44,231 INFO [__main__.py:251] Verbosity set to INFO
3
+ 2024-05-23:13:02:53,641 INFO [__main__.py:335] Selected Tasks: ['arc_easy', 'hellaswag', 'mrpc', 'openbookqa', 'sst2', 'winogrande']
4
+ 2024-05-23:13:02:53,642 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
5
+ 2024-05-23:13:02:53,643 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step100'}
6
+ 2024-05-23:13:02:55,935 INFO [huggingface.py:164] Using device 'cuda'
7
+ Traceback (most recent call last):
8
+ File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
9
+ return _run_code(code, main_globals, None,
10
+ File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
11
+ exec(code, run_globals)
12
+ File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 417, in <module>
13
+ cli_evaluate()
14
+ File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 341, in cli_evaluate
15
+ results = evaluator.simple_evaluate(
16
+ File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/utils.py", line 288, in _wrapper
17
+ return fn(*args, **kwargs)
18
+ File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/evaluator.py", line 180, in simple_evaluate
19
+ lm = lm_eval.api.registry.get_model(model).create_from_arg_string(
20
+ File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/api/model.py", line 134, in create_from_arg_string
21
+ return cls(**args, **args2)
22
+ File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 190, in __init__
23
+ self._get_config(
24
+ File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 471, in _get_config
25
+ self._config = transformers.AutoConfig.from_pretrained(
26
+ File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py", line 934, in from_pretrained
27
+ config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
28
+ File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 632, in get_config_dict
29
+ config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
30
+ File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 689, in _get_config_dict
31
+ resolved_config_file = cached_file(
32
+ File "/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py", line 370, in cached_file
33
+ raise EnvironmentError(
34
+ OSError: /mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step100 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_step100/tree/main' for available files.
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1
+ DataProperty==1.0.1
2
+ GitPython==3.1.43
3
+ Jinja2==3.1.4
4
+ Markdown==3.6
5
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6
+ Pillow-SIMD==7.0.0.post3
7
+ PyYAML==6.0
8
+ Werkzeug==3.0.3
9
+ absl-py==2.1.0
10
+ accelerate==0.30.1
11
+ aiohttp==3.9.5
12
+ aiosignal==1.3.1
13
+ async-timeout==4.0.3
14
+ attrs==23.2.0
15
+ av==9.2.0
16
+ cachetools==5.3.3
17
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18
+ cffi==1.15.1
19
+ cfgv==3.4.0
20
+ chardet==5.2.0
21
+ charset-normalizer==3.3.2
22
+ click==8.1.7
23
+ cmake==3.29.2
24
+ colorama==0.4.6
25
+ datasets==2.19.1
26
+ deepspeed==0.12.4+hpu.synapse.v1.15.1
27
+ dill==0.3.8
28
+ distlib==0.3.8
29
+ docker-pycreds==0.4.0
30
+ einops==0.8.0
31
+ evaluate==0.4.2
32
+ exceptiongroup==1.2.1
33
+ expecttest==0.2.1
34
+ filelock==3.14.0
35
+ frozenlist==1.4.1
36
+ fsspec==2024.3.1
37
+ gitdb==4.0.11
38
+ google-auth-oauthlib==0.4.6
39
+ google-auth==2.29.0
40
+ grpcio==1.63.0
41
+ habana-media-loader==1.15.1.15
42
+ habana-pyhlml==1.15.1.15
43
+ habana-torch-dataloader==1.15.1.15
44
+ habana-torch-plugin==1.15.1.15
45
+ habana_gpu_migration==1.15.1.15
46
+ habana_quantization_toolkit==1.15.1.15
47
+ hjson==3.1.0
48
+ huggingface-hub==0.23.1
49
+ identify==2.5.36
50
+ idna==3.7
51
+ iniconfig==2.0.0
52
+ joblib==1.4.2
53
+ jsonlines==4.0.0
54
+ lightning-habana==1.4.0
55
+ lightning-utilities==0.11.2
56
+ lightning==2.2.0.post0
57
+ lm_eval==0.4.2
58
+ lm_eval==0.4.2
59
+ lm_eval==0.4.2
60
+ lxml==5.2.2
61
+ mbstrdecoder==1.1.3
62
+ more-itertools==10.2.0
63
+ mpi4py==3.1.4
64
+ mpmath==1.3.0
65
+ multidict==6.0.5
66
+ multiprocess==0.70.16
67
+ networkx==3.3
68
+ ninja==1.11.1.1
69
+ nltk==3.8.1
70
+ nodeenv==1.8.0
71
+ numexpr==2.10.0
72
+ numpy==1.23.5
73
+ oauthlib==3.2.2
74
+ packaging==24.0
75
+ pandas==2.0.1
76
+ pathspec==0.12.1
77
+ pathvalidate==3.2.0
78
+ peft==0.11.1
79
+ perfetto==0.7.0
80
+ pillow==10.3.0
81
+ pip==22.0.2
82
+ pip==23.3.1
83
+ platformdirs==4.2.1
84
+ pluggy==1.5.0
85
+ portalocker==2.8.2
86
+ pre-commit==3.3.3
87
+ pretty-errors==1.2.25
88
+ protobuf==3.20.3
89
+ psutil==5.9.8
90
+ py-cpuinfo==9.0.0
91
+ pyarrow-hotfix==0.6
92
+ pyarrow==16.1.0
93
+ pyasn1==0.6.0
94
+ pyasn1_modules==0.4.0
95
+ pybind11==2.10.4
96
+ pycparser==2.22
97
+ pydantic==1.10.13
98
+ pynvml==8.0.4
99
+ pytablewriter==1.2.0
100
+ pytest==8.2.0
101
+ python-dateutil==2.9.0.post0
102
+ pytorch-lightning==2.2.4
103
+ pytz==2024.1
104
+ regex==2023.5.5
105
+ requests-oauthlib==2.0.0
106
+ requests==2.31.0
107
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21
+ You can avoid this message in future by passing the argument `trust_remote_code=True`.
22
+ Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.
23
+ warnings.warn(
24
+ Downloading builder script: 100%|██████████| 30.7k/30.7k [00:00<00:00, 39.0MB/s]
25
+ Downloading readme: 100%|██████████| 18.2k/18.2k [00:00<00:00, 31.3MB/s]
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+ Downloading data: 100%|██████████| 4.12M/4.12M [00:00<00:00, 36.7MB/s]
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+ Generating train split: 100%|██████████| 9427/9427 [00:00<00:00, 21893.00 examples/s]
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+ Generating validation split: 100%|██████████| 3270/3270 [00:00<00:00, 22241.42 examples/s]
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+ Generating test split: 100%|██████████| 3245/3245 [00:00<00:00, 23197.16 examples/s]
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+ 2024-05-29:13:06:15,552 WARNING [task.py:763] [Task: copa] metric acc is defined, but aggregation is not. using default aggregation=mean
31
+ 2024-05-29:13:06:15,553 WARNING [task.py:775] [Task: copa] metric acc is defined, but higher_is_better is not. using default higher_is_better=True
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+ Downloading data: 100%|██████████| 44.0k/44.0k [00:00<00:00, 1.23MB/s]
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+ Generating train split: 100%|██████████| 400/400 [00:00<00:00, 16289.98 examples/s]
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+ Generating validation split: 100%|██████████| 100/100 [00:00<00:00, 12671.23 examples/s]
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+ Generating test split: 100%|██████████| 500/500 [00:00<00:00, 17242.91 examples/s]
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+ 2024-05-29:13:06:17,881 WARNING [task.py:763] [Task: mrpc] metric acc is defined, but aggregation is not. using default aggregation=mean
37
+ 2024-05-29:13:06:17,881 WARNING [task.py:775] [Task: mrpc] metric acc is defined, but higher_is_better is not. using default higher_is_better=True
38
+ 2024-05-29:13:06:17,882 WARNING [task.py:763] [Task: mrpc] metric f1 is defined, but aggregation is not. using default aggregation=f1
39
+ 2024-05-29:13:06:17,882 WARNING [task.py:775] [Task: mrpc] metric f1 is defined, but higher_is_better is not. using default higher_is_better=True
40
+ Downloading readme: 100%|██████████| 35.3k/35.3k [00:00<00:00, 45.2MB/s]
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+ Downloading data: 100%|██████████| 649k/649k [00:00<00:00, 4.43MB/s]
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+ Downloading data: 100%|██████████| 75.7k/75.7k [00:00<00:00, 515kB/s]
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+ Downloading data: 100%|██████████| 308k/308k [00:00<00:00, 2.07MB/s]
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+ Generating train split: 100%|██████████| 3668/3668 [00:00<00:00, 409385.50 examples/s]
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+ Generating validation split: 100%|██████████| 408/408 [00:00<00:00, 177555.10 examples/s]
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+ Generating test split: 100%|██████████| 1725/1725 [00:00<00:00, 357982.01 examples/s]
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+ /usr/local/lib/python3.10/dist-packages/datasets/load.py:1486: 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
48
+ You can avoid this message in future by passing the argument `trust_remote_code=True`.
49
+ Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.
50
+ warnings.warn(
51
+ Downloading builder script: 100%|██████████| 5.36k/5.36k [00:00<00:00, 12.6MB/s]
52
+ Downloading readme: 100%|██████████| 8.41k/8.41k [00:00<00:00, 17.6MB/s]
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+ Downloading data: 100%|██████████| 1.82M/1.82M [00:00<00:00, 4.16MB/s]
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+ Downloading data: 100%|██████████| 815k/815k [00:00<00:00, 22.0MB/s]
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+ Generating train split: 100%|██████████| 16113/16113 [00:00<00:00, 23664.84 examples/s]
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+ Generating test split: 100%|██████████| 3084/3084 [00:00<00:00, 24456.31 examples/s]
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+ Generating validation split: 100%|██████████| 1838/1838 [00:00<00:00, 22623.81 examples/s]
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+ 2024-05-29:13:06:28,855 WARNING [task.py:763] [Task: sst2] metric acc is defined, but aggregation is not. using default aggregation=mean
59
+ 2024-05-29:13:06:28,855 WARNING [task.py:775] [Task: sst2] metric acc is defined, but higher_is_better is not. using default higher_is_better=True
60
+ Downloading data: 100%|██████████| 3.11M/3.11M [00:00<00:00, 20.1MB/s]
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+ Downloading data: 100%|██████████| 72.8k/72.8k [00:00<00:00, 509kB/s]
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+ Downloading data: 100%|██████████| 148k/148k [00:00<00:00, 1.02MB/s]
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+ Generating train split: 100%|██████████| 67349/67349 [00:00<00:00, 1422904.82 examples/s]
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+ Generating validation split: 100%|██████████| 872/872 [00:00<00:00, 400595.08 examples/s]
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+ Generating test split: 100%|██████████| 1821/1821 [00:00<00:00, 542459.35 examples/s]
66
+ /usr/local/lib/python3.10/dist-packages/datasets/load.py:1486: 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
67
+ You can avoid this message in future by passing the argument `trust_remote_code=True`.
68
+ Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.
69
+ warnings.warn(
70
+ Downloading builder script: 100%|██████████| 5.65k/5.65k [00:00<00:00, 17.8MB/s]
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+ Downloading readme: 100%|██████████| 9.97k/9.97k [00:00<00:00, 20.6MB/s]
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+ Downloading data: 100%|██████████| 3.40M/3.40M [00:00<00:00, 6.94MB/s]
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+ Generating train split: 100%|██████████| 40398/40398 [00:01<00:00, 24326.81 examples/s]
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+ Generating test split: 100%|██████████| 1767/1767 [00:00<00:00, 24409.26 examples/s]
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+ Generating validation split: 100%|██████████| 1267/1267 [00:00<00:00, 23774.23 examples/s]
76
+ 2024-05-29:13:06:41,393 INFO [task.py:395] Building contexts for winogrande on rank 0...
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+ 100%|██████████| 1267/1267 [00:00<00:00, 69435.59it/s]
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+ 2024-05-29:13:06:41,475 INFO [task.py:395] Building contexts for sst2 on rank 0...
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+ 100%|██████████| 872/872 [00:00<00:00, 2580.49it/s]
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+ 2024-05-29:13:06:41,843 INFO [task.py:395] Building contexts for piqa on rank 0...
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+ 100%|██████████| 1838/1838 [00:01<00:00, 1085.42it/s]
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+ 2024-05-29:13:06:43,612 INFO [task.py:395] Building contexts for mrpc on rank 0...
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+ 100%|██████████| 408/408 [00:00<00:00, 1880.82it/s]
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+ 2024-05-29:13:06:43,848 INFO [task.py:395] Building contexts for copa on rank 0...
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+ 100%|██████████| 100/100 [00:00<00:00, 60707.83it/s]
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+ 2024-05-29:13:06:43,857 INFO [task.py:395] Building contexts for boolq on rank 0...
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+ 100%|██████████| 3270/3270 [00:01<00:00, 1991.77it/s]
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+ 2024-05-29:13:06:45,633 INFO [task.py:395] Building contexts for arc_easy on rank 0...
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+ 100%|██████████| 2376/2376 [00:02<00:00, 1073.21it/s]
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+ 2024-05-29:13:06:47,992 INFO [evaluator.py:379] Running loglikelihood requests
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+ Running loglikelihood requests: 0%| | 0/25011 [00:00<?, ?it/s]
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+ Passed argument batch_size = auto:1. Detecting largest batch size
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+ Running loglikelihood requests: 100%|██████████| 25011/25011 [41:35<00:00, 10.02it/s]
471
+ bootstrapping for stddev: f1_score
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+ 100%|██████████| 100/100 [02:08<00:00, 1.28s/it]
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+ hf (pretrained=/mnt/weka/peacock/experiments/llama/eval/checkpoint/llamav2-3b/hf/global_step30000,tokenizer=huggyllama/llama-13b), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: auto (64)
478
+ | Tasks |Version|Filter|n-shot| Metric |Value | |Stderr|
479
+ |----------|------:|------|-----:|--------|-----:|---|-----:|
480
+ |winogrande| 1|none | 0|acc |0.4759|± |0.0140|
481
+ |sst2 | 1|none | 0|acc |0.5126|± |0.0169|
482
+ |piqa | 1|none | 0|acc |0.5283|± |0.0116|
483
+ | | |none | 0|acc_norm|0.5005|± |0.0117|
484
+ |mrpc | 1|none | 0|acc |0.4975|± |0.0248|
485
+ | | |none | 0|f1 |0.5941|± |0.0259|
486
+ |copa | 1|none | 0|acc |0.6500|± |0.0479|
487
+ |boolq | 2|none | 0|acc |0.5064|± |0.0087|
488
+ |arc_easy | 1|none | 0|acc |0.2614|± |0.0090|
489
+ | | |none | 0|acc_norm|0.2630|± |0.0090|
lm-evaluation-harness/wandb/run-20240529_130528-qqvuwacj/files/requirements.txt ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
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10
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68
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86
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87
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88
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89
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90
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92
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115
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116
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117
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118
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119
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120
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121
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122
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123
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124
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125
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126
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127
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128
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129
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130
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131
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132
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133
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134
+ torchaudio==2.2.0+08901ad
135
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136
+ torchmetrics==1.4.0
137
+ torchtext==0.17.0+400da5c
138
+ torchvision==0.17.0+b2383d4
139
+ tqdm-multiprocess==0.0.11
140
+ tqdm==4.66.4
141
+ transformers==4.36.2
142
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143
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144
+ tzdata==2024.1
145
+ urllib3==1.26.18
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