3b_only_dpo/base_model.log

2025-02-07:09:55:32,169 INFO     [__main__.py:284] Verbosity set to INFO
2025-02-07:09:55:44,180 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
2025-02-07:09:55:44,182 INFO     [evaluator.py:165] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
2025-02-07:09:55:44,182 WARNING  [evaluator.py:176] generation_kwargs specified through cli, these settings will update set parameters in yaml tasks. Ensure 'do_sample=True' for non-greedy decoding!
2025-02-07:09:55:44,182 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct'}
2025-02-07:09:55:44,227 INFO     [huggingface.py:135] Using device 'cuda:0'
2025-02-07:09:55:44,930 INFO     [huggingface.py:375] Model parallel was set to False, max memory was not set, and device map was set to {'': 'cuda:0'}

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2025-02-07:09:55:53,968 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
2025-02-07:09:55:53,969 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
2025-02-07:09:55:53,969 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...

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2025-02-07:09:56:06,837 INFO     [evaluator.py:513] Running generate_until requests

Running generate_until requests:   0%|          | 0/1319 [00:00<?, ?it/s]/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/transformers/generation/configuration_utils.py:567: UserWarning: `do_sample` is set to `False`. However, `temperature` is set to `0.01` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `temperature`.
  warnings.warn(
/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/transformers/generation/configuration_utils.py:589: UserWarning: `do_sample` is set to `False`. However, `top_k` is set to `0` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `top_k`.
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2025-02-07:10:16:31,035 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
hf (pretrained=meta-llama/Llama-3.2-3B-Instruct), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 12
|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7551|±  |0.0118|
|               |       |strict-match    |     8|exact_match|↑  |0.7453|±  |0.0120|