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peacock-data-public-datasets-idc-cronscript

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  2. ckpts/universal/global_step20/zero/6.attention.query_key_value.weight/exp_avg.pt +3 -0
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+ 2024-05-14:16:34:25,104 INFO [__main__.py:251] Verbosity set to INFO
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+ 2024-05-14:16:34:30,618 INFO [__main__.py:335] Selected Tasks: ['indiccopa-hi']
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+ 2024-05-14:16:34:30,621 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
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+ 2024-05-14:16:34:30,621 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/data/cronscript/ckpts//hf_ckpt//global_step100'}
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+ [2024-05-14 16:34:41,207] [INFO] [real_accelerator.py:178:get_accelerator] Setting ds_accelerator to hpu (auto detect)
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+ /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.
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+ 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
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+ 2024-05-14:16:34:41,615 WARNING [task.py:763] [Task: indiccopa-hi] metric acc is defined, but aggregation is not. using default aggregation=mean
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+ 2024-05-14:16:34:41,615 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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+ /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
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+ You can avoid this message in future by passing the argument `trust_remote_code=True`.
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+ Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.
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+ warnings.warn(
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+ Passed argument batch_size = auto:1. Detecting largest batch size
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+ 2024-05-14:16:34:43,024 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.
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+ 2024-05-14:16:34:43,024 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.
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+ 2024-05-14:16:34:44,718 INFO [evaluator.py:379] Running loglikelihood requests
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+ Determined largest batch size: 64
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+ 2024-05-14 16:37:04,075 INFO MainThread:126393 [wandb_run.py:_on_init():2405] got version response
23
+ 2024-05-14 16:37:04,075 INFO MainThread:126393 [wandb_init.py:init():795] starting run threads in backend
24
+ 2024-05-14 16:37:04,281 INFO MainThread:126393 [wandb_run.py:_console_start():2374] atexit reg
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+ 2024-05-14 16:37:04,281 INFO MainThread:126393 [wandb_run.py:_redirect():2229] redirect: wrap_raw
26
+ 2024-05-14 16:37:04,281 INFO MainThread:126393 [wandb_run.py:_redirect():2294] Wrapping output streams.
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+ 2024-05-14 16:37:04,281 INFO MainThread:126393 [wandb_run.py:_redirect():2319] Redirects installed.
28
+ 2024-05-14 16:37:04,282 INFO MainThread:126393 [wandb_init.py:init():838] run started, returning control to user process
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+ desc: null
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+ python_version: 3.10.12
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+ cli_version: 0.17.0
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+ framework: huggingface
9
+ huggingface_version: 4.40.2
10
+ is_jupyter_run: false
11
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lm-evaluation-harness/wandb/run-20240514_164521-dgq5bus7/files/output.log ADDED
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1
+
2
+ 2024-05-14:16:45:22,350 INFO [__main__.py:251] Verbosity set to INFO
3
+ 2024-05-14:16:45:26,968 INFO [__main__.py:335] Selected Tasks: ['indiccopa-hi']
4
+ 2024-05-14:16:45:26,970 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
5
+ 2024-05-14:16:45:26,970 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/data/cronscript/ckpts//hf_ckpt//global_step120'}
6
+ Traceback (most recent call last):
7
+ File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
8
+ return _run_code(code, main_globals, None,
9
+ File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
10
+ exec(code, run_globals)
11
+ File "/data/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 417, in <module>
12
+ cli_evaluate()
13
+ File "/data/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 341, in cli_evaluate
14
+ results = evaluator.simple_evaluate(
15
+ File "/data/cronscript/lm-evaluation-harness/lm_eval/utils.py", line 288, in _wrapper
16
+ return fn(*args, **kwargs)
17
+ File "/data/cronscript/lm-evaluation-harness/lm_eval/evaluator.py", line 180, in simple_evaluate
18
+ lm = lm_eval.api.registry.get_model(model).create_from_arg_string(
19
+ File "/data/cronscript/lm-evaluation-harness/lm_eval/api/model.py", line 134, in create_from_arg_string
20
+ return cls(**args, **args2)
21
+ File "/data/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 190, in __init__
22
+ self._get_config(
23
+ File "/data/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 471, in _get_config
24
+ self._config = transformers.AutoConfig.from_pretrained(
25
+ File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py", line 928, in from_pretrained
26
+ config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
27
+ File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 631, in get_config_dict
28
+ config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
29
+ File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 686, in _get_config_dict
30
+ resolved_config_file = cached_file(
31
+ File "/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py", line 369, in cached_file
32
+ raise EnvironmentError(
33
+ 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.
lm-evaluation-harness/wandb/run-20240514_164521-dgq5bus7/files/requirements.txt ADDED
@@ -0,0 +1,163 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ DataProperty==1.0.1
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4
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+ PyYAML==6.0
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23
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24
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26
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29
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30
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31
+ distro==1.9.0
32
+ docker-pycreds==0.4.0
33
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34
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35
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39
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40
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47
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+ habana-torch-plugin==1.15.1.15
49
+ habana_gpu_migration==1.15.1.15
50
+ habana_quantization_toolkit==1.15.1.15
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+ hjson==3.1.0
52
+ httpcore==1.0.5
53
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54
+ huggingface-hub==0.23.0
55
+ identify==2.5.35
56
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57
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58
+ iniconfig==2.0.0
59
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60
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61
+ lightning-habana==1.4.0
62
+ lightning-utilities==0.11.2
63
+ lightning==2.2.0.post0
64
+ lm_eval==0.3.0
65
+ lm_eval==0.4.2
66
+ lm_eval==0.4.2
67
+ lm_eval==0.4.2
68
+ mbstrdecoder==1.1.3
69
+ more-itertools==10.2.0
70
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71
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72
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73
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74
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75
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76
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77
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78
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79
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80
+ oauthlib==3.2.2
81
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83
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85
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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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91
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93
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94
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95
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96
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99
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103
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104
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105
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106
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107
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108
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109
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110
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111
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112
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113
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114
+ requests==2.31.0
115
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116
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118
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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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135
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137
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138
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139
+ tokenizers==0.19.1
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141
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142
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143
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144
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145
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146
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148
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149
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151
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152
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153
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154
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155
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156
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157
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158
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159
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160
+ xxhash==3.4.1
161
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162
+ yarl==1.9.4
163
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10
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1
+
2
+ 2024-05-23:06:45:17,876 INFO [__main__.py:251] Verbosity set to INFO
3
+ 2024-05-23:06:45:26,892 INFO [__main__.py:335] Selected Tasks: ['arc_easy', 'hellaswag', 'mrpc', 'openbookqa', 'sst2', 'winogrande']
4
+ 2024-05-23:06:45:26,893 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
5
+ 2024-05-23:06:45:26,893 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step10000'}
6
+ 2024-05-23:06:45:29,211 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_step10000 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_step10000/tree/main' for available files.
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1
+ DataProperty==1.0.1
2
+ GitPython==3.1.43
3
+ Jinja2==3.1.3
4
+ Markdown==3.6
5
+ MarkupSafe==2.1.5
6
+ Pillow-SIMD==7.0.0.post3
7
+ PyYAML==6.0
8
+ Werkzeug==3.0.2
9
+ absl-py==2.1.0
10
+ accelerate==0.30.1
11
+ aiohttp==3.9.4
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
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33
+ expecttest==0.2.1
34
+ filelock==3.13.4
35
+ frozenlist==1.4.1
36
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37
+ gitdb==4.0.11
38
+ google-auth-oauthlib==0.4.6
39
+ google-auth==2.29.0
40
+ grpcio==1.62.1
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==2.5.35
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==4.2.0
84
+ pluggy==1.4.0
85
+ portalocker==2.8.2
86
+ pre-commit==3.3.3
87
+ protobuf==3.20.3
88
+ psutil==5.9.8
89
+ py-cpuinfo==9.0.0
90
+ pyarrow-hotfix==0.6
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+ huggingface_version: 4.41.1
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lm-evaluation-harness/wandb/run-20240523_123525-7u2soe0v/files/output.log ADDED
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1
+
2
+ 2024-05-23:12:35:26,266 INFO [__main__.py:251] Verbosity set to INFO
3
+ 2024-05-23:12:35:34,816 INFO [__main__.py:335] Selected Tasks: ['arc_easy', 'hellaswag', 'mrpc', 'openbookqa', 'sst2', 'winogrande']
4
+ 2024-05-23:12:35:34,817 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
5
+ 2024-05-23:12:35:34,817 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step24000'}
6
+ 2024-05-23:12:35:37,135 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_step24000 does not appear to have a file named config.json. Checkout 'https://huggingface.co//mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step24000/tree/main' for available files.
lm-evaluation-harness/wandb/run-20240523_123525-7u2soe0v/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
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6
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7
+ PyYAML==6.0
8
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9
+ absl-py==2.1.0
10
+ accelerate==0.30.1
11
+ aiohttp==3.9.5
12
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13
+ async-timeout==4.0.3
14
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15
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16
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17
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18
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19
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20
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21
+ charset-normalizer==3.3.2
22
+ click==8.1.7
23
+ cmake==3.29.2
24
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25
+ datasets==2.19.1
26
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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
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36
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37
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38
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39
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40
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41
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42
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43
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44
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45
+ habana_gpu_migration==1.15.1.15
46
+ habana_quantization_toolkit==1.15.1.15
47
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48
+ huggingface-hub==0.23.1
49
+ identify==2.5.36
50
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51
+ iniconfig==2.0.0
52
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53
+ jsonlines==4.0.0
54
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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
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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
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74
+ packaging==24.0
75
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76
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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
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86
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87
+ pretty-errors==1.2.25
88
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89
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90
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91
+ pyarrow-hotfix==0.6
92
+ pyarrow==16.1.0
93
+ pyasn1==0.6.0
94
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95
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96
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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
+ rouge_score==0.1.2
108
+ rsa==4.9
109
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110
+ safetensors==0.4.3
111
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112
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113
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114
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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
+ threadpoolctl==3.5.0
131
+ tokenizers==0.19.1
132
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133
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134
+ torch_tb_profiler==0.4.0
135
+ torchaudio==2.2.0+08901ad
136
+ torchdata==0.7.1+5e6f7b7
137
+ torchmetrics==1.4.0
138
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139
+ torchvision==0.17.0+b2383d4
140
+ tqdm-multiprocess==0.0.11
141
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142
+ transformers==4.41.1
143
+ typepy==1.3.2
144
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145
+ tzdata==2024.1
146
+ urllib3==1.26.18
147
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148
+ wandb==0.17.0
149
+ wheel==0.37.1
150
+ wheel==0.43.0
151
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152
+ xxhash==3.4.1
153
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154
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155
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:79448a63961f04db84af9d3bf6e808c52d8dc8515b59517ddeb2915dcfd2fefb
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venv/lib/python3.10/site-packages/transformers/models/dpt/__init__.py ADDED
@@ -0,0 +1,76 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Copyright 2022 The HuggingFace Team. All rights reserved.
2
+ #
3
+ # Licensed under the Apache License, Version 2.0 (the "License");
4
+ # you may not use this file except in compliance with the License.
5
+ # You may obtain a copy of the License at
6
+ #
7
+ # http://www.apache.org/licenses/LICENSE-2.0
8
+ #
9
+ # Unless required by applicable law or agreed to in writing, software
10
+ # distributed under the License is distributed on an "AS IS" BASIS,
11
+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12
+ # See the License for the specific language governing permissions and
13
+ # limitations under the License.
14
+ from typing import TYPE_CHECKING
15
+
16
+ from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available, is_vision_available
17
+ from ...utils import OptionalDependencyNotAvailable
18
+
19
+
20
+ _import_structure = {"configuration_dpt": ["DPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DPTConfig"]}
21
+
22
+ try:
23
+ if not is_vision_available():
24
+ raise OptionalDependencyNotAvailable()
25
+ except OptionalDependencyNotAvailable:
26
+ pass
27
+ else:
28
+ _import_structure["feature_extraction_dpt"] = ["DPTFeatureExtractor"]
29
+ _import_structure["image_processing_dpt"] = ["DPTImageProcessor"]
30
+
31
+ try:
32
+ if not is_torch_available():
33
+ raise OptionalDependencyNotAvailable()
34
+ except OptionalDependencyNotAvailable:
35
+ pass
36
+ else:
37
+ _import_structure["modeling_dpt"] = [
38
+ "DPT_PRETRAINED_MODEL_ARCHIVE_LIST",
39
+ "DPTForDepthEstimation",
40
+ "DPTForSemanticSegmentation",
41
+ "DPTModel",
42
+ "DPTPreTrainedModel",
43
+ ]
44
+
45
+
46
+ if TYPE_CHECKING:
47
+ from .configuration_dpt import DPT_PRETRAINED_CONFIG_ARCHIVE_MAP, DPTConfig
48
+
49
+ try:
50
+ if not is_vision_available():
51
+ raise OptionalDependencyNotAvailable()
52
+ except OptionalDependencyNotAvailable:
53
+ pass
54
+ else:
55
+ from .feature_extraction_dpt import DPTFeatureExtractor
56
+ from .image_processing_dpt import DPTImageProcessor
57
+
58
+ try:
59
+ if not is_torch_available():
60
+ raise OptionalDependencyNotAvailable()
61
+ except OptionalDependencyNotAvailable:
62
+ pass
63
+ else:
64
+ from .modeling_dpt import (
65
+ DPT_PRETRAINED_MODEL_ARCHIVE_LIST,
66
+ DPTForDepthEstimation,
67
+ DPTForSemanticSegmentation,
68
+ DPTModel,
69
+ DPTPreTrainedModel,
70
+ )
71
+
72
+
73
+ else:
74
+ import sys
75
+
76
+ sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
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