diff --git a/3b_only_dpo/3b_only_dpo_ckpt_100.log b/3b_only_dpo/3b_only_dpo_ckpt_100.log
new file mode 100644
index 0000000000000000000000000000000000000000..126d3ba2243784b053c51dc9fa9676eec595ce2b
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_100.log
@@ -0,0 +1,25 @@
+2025-02-08:22:34:04,653 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-08:22:34:16,782 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-08:22:34:16,783 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
+2025-02-08:22:34:16,784 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!
+2025-02-08:22:34:16,784 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-100'}
+2025-02-08:22:34:16,825 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-08:22:34:17,519 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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+2025-02-08:22:34:27,648 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-08:22:34:27,649 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-08:22:34:27,649 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-08:22:34:40,538 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-08:22:57:07,513 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-100), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7559|±  |0.0118|
+|               |       |strict-match    |     8|exact_match|↑  |0.7445|±  |0.0120|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_1000.log b/3b_only_dpo/3b_only_dpo_ckpt_1000.log
new file mode 100644
index 0000000000000000000000000000000000000000..4437fcc89da791c3e73eec9dfbc86360352ba1c3
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_1000.log
@@ -0,0 +1,25 @@
+2025-02-09:10:54:06,363 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:10:54:18,776 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:10:54:18,783 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
+2025-02-09:10:54:18,783 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!
+2025-02-09:10:54:18,783 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-1000'}
+2025-02-09:10:54:18,828 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:10:54:20,014 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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+2025-02-09:10:54:34,307 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:10:54:34,308 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:10:54:34,308 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:10:54:46,893 INFO     [evaluator.py:513] Running generate_until requests
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+  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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+2025-02-09:11:16:57,639 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-1000), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7498|±  |0.0119|
+|               |       |strict-match    |     8|exact_match|↑  |0.7384|±  |0.0121|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_1100.log b/3b_only_dpo/3b_only_dpo_ckpt_1100.log
new file mode 100644
index 0000000000000000000000000000000000000000..bd38a511d28bfc68b880243dfe4a7131b1073a4c
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_1100.log
@@ -0,0 +1,68 @@
+2025-02-09:11:17:01,668 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:11:17:12,902 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:11:17:12,903 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
+2025-02-09:11:17:12,903 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!
+2025-02-09:11:17:12,903 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-1100'}
+2025-02-09:11:17:12,942 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:11:17:13,539 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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+Traceback (most recent call last):
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py", line 304, in hf_raise_for_status
+    response.raise_for_status()
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/requests/models.py", line 1024, in raise_for_status
+    raise HTTPError(http_error_msg, response=self)
+requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/JaqueMate/new_config_3b_only_dpo_checkpoint-1100/resolve/main/adapter_model.bin
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/peft/utils/save_and_load.py", line 505, in load_peft_weights
+    filename = hf_hub_download(model_id, WEIGHTS_NAME, **hf_hub_download_kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py", line 101, in inner_f
+    return f(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
+    return fn(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1240, in hf_hub_download
+    return _hf_hub_download_to_cache_dir(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1303, in _hf_hub_download_to_cache_dir
+    (url_to_download, etag, commit_hash, expected_size, head_call_error) = _get_metadata_or_catch_error(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1751, in _get_metadata_or_catch_error
+    metadata = get_hf_file_metadata(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
+    return fn(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1673, in get_hf_file_metadata
+    r = _request_wrapper(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 376, in _request_wrapper
+    response = _request_wrapper(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 400, in _request_wrapper
+    hf_raise_for_status(response)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py", line 315, in hf_raise_for_status
+    raise EntryNotFoundError(message, response) from e
+huggingface_hub.utils._errors.EntryNotFoundError: 404 Client Error. (Request ID: Root=1-67a8b8ed-244ca42e7044c05c3ae46452;89d7c465-1a30-4ba2-a636-7d2f32070439)
+
+Entry Not Found for url: https://huggingface.co/JaqueMate/new_config_3b_only_dpo_checkpoint-1100/resolve/main/adapter_model.bin.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/__main__.py", line 467, in <module>
+    cli_evaluate()
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/__main__.py", line 387, in cli_evaluate
+    results = evaluator.simple_evaluate(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/utils.py", line 402, in _wrapper
+    return fn(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/evaluator.py", line 205, in simple_evaluate
+    lm = lm_eval.api.registry.get_model(model).create_from_arg_string(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/api/model.py", line 151, in create_from_arg_string
+    return cls(**args, **args2)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/models/huggingface.py", line 190, in __init__
+    self._create_model(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/models/huggingface.py", line 647, in _create_model
+    self._model = PeftModel.from_pretrained(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/peft/peft_model.py", line 554, in from_pretrained
+    model.load_adapter(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/peft/peft_model.py", line 1122, in load_adapter
+    adapters_weights = load_peft_weights(model_id, device=torch_device, **hf_hub_download_kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/peft/utils/save_and_load.py", line 507, in load_peft_weights
+    raise ValueError(
+ValueError: Can't find weights for JaqueMate/new_config_3b_only_dpo_checkpoint-1100 in JaqueMate/new_config_3b_only_dpo_checkpoint-1100 or in the Hugging Face Hub. Please check that the file adapter_model.bin or adapter_model.safetensors is present at JaqueMate/new_config_3b_only_dpo_checkpoint-1100.
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_1200.log b/3b_only_dpo/3b_only_dpo_ckpt_1200.log
new file mode 100644
index 0000000000000000000000000000000000000000..25bd8b59adbe0cbae442d095b4ec49017f00bd9c
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_1200.log
@@ -0,0 +1,25 @@
+2025-02-09:11:17:21,116 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:11:17:32,402 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:11:17:32,403 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
+2025-02-09:11:17:32,403 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!
+2025-02-09:11:17:32,403 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-1200'}
+2025-02-09:11:17:32,441 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:11:17:33,093 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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+2025-02-09:11:17:59,573 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:11:17:59,573 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:11:17:59,574 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:11:18:10,892 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
+
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+2025-02-09:11:40:26,782 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-1200), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7521|±  |0.0119|
+|               |       |strict-match    |     8|exact_match|↑  |0.7362|±  |0.0121|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_1300.log b/3b_only_dpo/3b_only_dpo_ckpt_1300.log
new file mode 100644
index 0000000000000000000000000000000000000000..7f9888659226b644ff87bfd260b1ff7b5414ce1e
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_1300.log
@@ -0,0 +1,25 @@
+2025-02-09:11:40:30,714 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:11:40:41,991 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:11:40:41,992 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
+2025-02-09:11:40:41,992 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!
+2025-02-09:11:40:41,992 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-1300'}
+2025-02-09:11:40:42,030 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:11:40:42,751 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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+2025-02-09:11:41:09,807 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:11:41:09,808 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:11:41:09,808 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:11:41:21,232 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-09:12:03:26,648 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-1300), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7437|±  |0.0120|
+|               |       |strict-match    |     8|exact_match|↑  |0.7301|±  |0.0122|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_1400.log b/3b_only_dpo/3b_only_dpo_ckpt_1400.log
new file mode 100644
index 0000000000000000000000000000000000000000..2b1573f165a03226ebef9ecab4aaff5dd6f05318
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_1400.log
@@ -0,0 +1,25 @@
+2025-02-09:12:03:30,558 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:12:03:41,985 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:12:03:41,986 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
+2025-02-09:12:03:41,986 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!
+2025-02-09:12:03:41,986 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-1400'}
+2025-02-09:12:03:42,025 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:12:03:42,641 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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+2025-02-09:12:04:08,793 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:12:04:08,794 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:12:04:08,794 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+  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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+2025-02-09:12:26:31,447 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-1400), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7422|±  |0.0120|
+|               |       |strict-match    |     8|exact_match|↑  |0.7293|±  |0.0122|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_1500.log b/3b_only_dpo/3b_only_dpo_ckpt_1500.log
new file mode 100644
index 0000000000000000000000000000000000000000..26818cfed8d9b033cb5351161ebe607830c8337f
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_1500.log
@@ -0,0 +1,25 @@
+2025-02-09:12:26:35,359 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:12:26:46,485 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:12:26:46,486 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
+2025-02-09:12:26:46,486 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!
+2025-02-09:12:26:46,486 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-1500'}
+2025-02-09:12:26:46,526 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:12:26:47,136 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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+2025-02-09:12:27:14,041 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:12:27:14,042 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:12:27:14,042 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:12:27:25,052 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-09:12:49:47,241 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-1500), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7392|±  |0.0121|
+|               |       |strict-match    |     8|exact_match|↑  |0.7255|±  |0.0123|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_1600.log b/3b_only_dpo/3b_only_dpo_ckpt_1600.log
new file mode 100644
index 0000000000000000000000000000000000000000..61e35de9fac32b9cf53ecd93dc4ac0788e765dd0
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_1600.log
@@ -0,0 +1,25 @@
+2025-02-09:12:49:52,916 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:12:50:05,514 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:12:50:05,516 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
+2025-02-09:12:50:05,516 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!
+2025-02-09:12:50:05,516 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-1600'}
+2025-02-09:12:50:05,563 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:12:50:06,334 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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+2025-02-09:12:50:34,647 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:12:50:34,648 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:12:50:34,648 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+
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+  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`.
+  warnings.warn(
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+2025-02-09:13:12:49,053 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-1600), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7407|±  |0.0121|
+|               |       |strict-match    |     8|exact_match|↑  |0.7225|±  |0.0123|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_1700.log b/3b_only_dpo/3b_only_dpo_ckpt_1700.log
new file mode 100644
index 0000000000000000000000000000000000000000..bf02624f68c64a945ec7128ec92220fad823f633
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_1700.log
@@ -0,0 +1,25 @@
+2025-02-09:13:12:52,963 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:13:13:04,196 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:13:13:04,197 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
+2025-02-09:13:13:04,197 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!
+2025-02-09:13:13:04,197 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-1700'}
+2025-02-09:13:13:04,237 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:13:13:04,841 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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+2025-02-09:13:13:31,557 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:13:13:31,557 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:13:13:31,558 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:13:13:42,512 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-09:13:36:00,723 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-1700), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7400|±  |0.0121|
+|               |       |strict-match    |     8|exact_match|↑  |0.7218|±  |0.0123|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_1800.log b/3b_only_dpo/3b_only_dpo_ckpt_1800.log
new file mode 100644
index 0000000000000000000000000000000000000000..cbd35977523316193d84c49edd671acfce906244
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_1800.log
@@ -0,0 +1,25 @@
+2025-02-09:13:36:04,639 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:13:36:15,888 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:13:36:15,889 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
+2025-02-09:13:36:15,889 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!
+2025-02-09:13:36:15,889 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-1800'}
+2025-02-09:13:36:15,929 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:13:36:16,523 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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+2025-02-09:13:36:42,968 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:13:36:42,969 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:13:36:42,969 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+  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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+2025-02-09:13:59:10,998 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-1800), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7483|±  |0.0120|
+|               |       |strict-match    |     8|exact_match|↑  |0.7331|±  |0.0122|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_1900.log b/3b_only_dpo/3b_only_dpo_ckpt_1900.log
new file mode 100644
index 0000000000000000000000000000000000000000..af61a166c606fc2d5285e9e81509a3cb189a9daa
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_1900.log
@@ -0,0 +1,25 @@
+2025-02-09:13:59:14,919 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:13:59:25,630 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:13:59:25,631 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
+2025-02-09:13:59:25,631 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!
+2025-02-09:13:59:25,631 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-1900'}
+2025-02-09:13:59:25,670 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:13:59:26,280 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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+2025-02-09:13:59:51,990 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:13:59:51,991 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:13:59:51,991 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:14:00:03,464 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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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+2025-02-09:14:22:19,211 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-1900), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7392|±  |0.0121|
+|               |       |strict-match    |     8|exact_match|↑  |0.7271|±  |0.0123|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_200.log b/3b_only_dpo/3b_only_dpo_ckpt_200.log
new file mode 100644
index 0000000000000000000000000000000000000000..0f5e3add59e8af11be93b8fd74f87df93b83a2a8
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_200.log
@@ -0,0 +1,25 @@
+2025-02-08:22:57:11,524 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-08:22:57:22,749 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-08:22:57:22,750 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
+2025-02-08:22:57:22,750 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!
+2025-02-08:22:57:22,750 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-200'}
+2025-02-08:22:57:22,789 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-08:22:57:23,475 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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+2025-02-08:22:57:32,620 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-08:22:57:32,621 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-08:22:57:32,621 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-08:22:57:43,807 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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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+2025-02-08:23:20:12,145 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-200), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7430|±  |0.0120|
+|               |       |strict-match    |     8|exact_match|↑  |0.7301|±  |0.0122|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_2000.log b/3b_only_dpo/3b_only_dpo_ckpt_2000.log
new file mode 100644
index 0000000000000000000000000000000000000000..527e85f38b1f242f4c07d8a0fd4cd5abee3b7e21
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_2000.log
@@ -0,0 +1,25 @@
+2025-02-09:14:22:23,111 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:14:22:34,377 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:14:22:34,378 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
+2025-02-09:14:22:34,379 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!
+2025-02-09:14:22:34,379 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-2000'}
+2025-02-09:14:22:34,418 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:14:22:35,049 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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+2025-02-09:14:23:01,577 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:14:23:01,578 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:14:23:01,578 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:14:23:12,576 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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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+2025-02-09:14:45:17,454 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-2000), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7483|±  |0.0120|
+|               |       |strict-match    |     8|exact_match|↑  |0.7346|±  |0.0122|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_2100.log b/3b_only_dpo/3b_only_dpo_ckpt_2100.log
new file mode 100644
index 0000000000000000000000000000000000000000..08f349ee22b1097270cbb819e6d2ca37e4dffaa7
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_2100.log
@@ -0,0 +1,25 @@
+2025-02-09:14:45:21,365 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:14:45:32,570 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:14:45:32,571 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
+2025-02-09:14:45:32,571 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!
+2025-02-09:14:45:32,571 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-2100'}
+2025-02-09:14:45:32,611 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:14:45:33,224 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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+2025-02-09:14:45:59,627 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:14:45:59,627 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:14:45:59,627 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:14:46:10,668 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-09:15:08:20,869 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-2100), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7483|±  |0.0120|
+|               |       |strict-match    |     8|exact_match|↑  |0.7346|±  |0.0122|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_2200.log b/3b_only_dpo/3b_only_dpo_ckpt_2200.log
new file mode 100644
index 0000000000000000000000000000000000000000..2c289eb1a82640a75de88cf2a3d0275c9e5dcb6f
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_2200.log
@@ -0,0 +1,25 @@
+2025-02-09:15:08:24,760 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:15:08:36,254 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:15:08:36,255 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
+2025-02-09:15:08:36,255 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!
+2025-02-09:15:08:36,255 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-2200'}
+2025-02-09:15:08:36,295 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:15:08:36,920 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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+2025-02-09:15:09:03,371 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:15:09:03,372 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:15:09:03,372 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:15:09:14,720 INFO     [evaluator.py:513] Running generate_until requests
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+  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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+2025-02-09:15:31:26,115 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-2200), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7400|±  |0.0121|
+|               |       |strict-match    |     8|exact_match|↑  |0.7263|±  |0.0123|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_2300.log b/3b_only_dpo/3b_only_dpo_ckpt_2300.log
new file mode 100644
index 0000000000000000000000000000000000000000..c384d431ee1a5dafffa6f593e9fcb29578082603
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_2300.log
@@ -0,0 +1,25 @@
+2025-02-09:15:31:30,027 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:15:31:41,143 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:15:31:41,144 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
+2025-02-09:15:31:41,145 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!
+2025-02-09:15:31:41,145 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-2300'}
+2025-02-09:15:31:41,183 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:15:31:41,781 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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+2025-02-09:15:32:08,016 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:15:32:08,016 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:15:32:08,017 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:15:32:19,231 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-09:15:54:37,988 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-2300), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7407|±  |0.0121|
+|               |       |strict-match    |     8|exact_match|↑  |0.7286|±  |0.0122|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_2400.log b/3b_only_dpo/3b_only_dpo_ckpt_2400.log
new file mode 100644
index 0000000000000000000000000000000000000000..10e6ba83df392defe3cfc3dcd32749f1a25b7179
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_2400.log
@@ -0,0 +1,25 @@
+2025-02-09:15:54:41,908 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:15:54:53,225 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:15:54:53,226 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
+2025-02-09:15:54:53,226 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!
+2025-02-09:15:54:53,226 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-2400'}
+2025-02-09:15:54:53,265 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:15:54:53,868 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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+2025-02-09:15:55:20,307 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:15:55:20,307 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:15:55:20,308 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:15:55:31,744 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-09:16:17:35,721 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-2400), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7293|±  |0.0122|
+|               |       |strict-match    |     8|exact_match|↑  |0.7149|±  |0.0124|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_2500.log b/3b_only_dpo/3b_only_dpo_ckpt_2500.log
new file mode 100644
index 0000000000000000000000000000000000000000..f308c936289d4fece0996468068546c35c88ec10
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_2500.log
@@ -0,0 +1,25 @@
+2025-02-09:16:17:39,636 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:16:17:50,918 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:16:17:50,919 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
+2025-02-09:16:17:50,919 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!
+2025-02-09:16:17:50,919 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-2500'}
+2025-02-09:16:17:50,958 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:16:17:51,570 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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+2025-02-09:16:18:18,625 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:16:18:18,626 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:16:18:18,626 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:16:18:30,175 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-09:16:40:37,056 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-2500), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7422|±  |0.0120|
+|               |       |strict-match    |     8|exact_match|↑  |0.7301|±  |0.0122|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_2600.log b/3b_only_dpo/3b_only_dpo_ckpt_2600.log
new file mode 100644
index 0000000000000000000000000000000000000000..efc43fa98a21c3dc8611bc604b4f7a2548b0101e
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_2600.log
@@ -0,0 +1,25 @@
+2025-02-09:16:40:40,963 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:16:40:52,166 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:16:40:52,167 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
+2025-02-09:16:40:52,167 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!
+2025-02-09:16:40:52,167 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-2600'}
+2025-02-09:16:40:52,207 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:16:40:53,568 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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+2025-02-09:16:41:22,825 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:16:41:22,825 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:16:41:22,826 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:16:41:34,122 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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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+2025-02-09:17:03:39,354 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-2600), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7453|±  |0.0120|
+|               |       |strict-match    |     8|exact_match|↑  |0.7339|±  |0.0122|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_2700.log b/3b_only_dpo/3b_only_dpo_ckpt_2700.log
new file mode 100644
index 0000000000000000000000000000000000000000..8512abd6da90b6b39d547348625bfe31195c5922
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_2700.log
@@ -0,0 +1,25 @@
+2025-02-09:17:03:43,229 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:17:03:54,572 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:17:03:54,573 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
+2025-02-09:17:03:54,573 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!
+2025-02-09:17:03:54,573 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-2700'}
+2025-02-09:17:03:54,614 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:17:03:55,265 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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+2025-02-09:17:04:22,641 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:17:04:22,642 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:17:04:22,642 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:17:04:34,031 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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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+2025-02-09:17:26:57,283 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-2700), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7513|±  |0.0119|
+|               |       |strict-match    |     8|exact_match|↑  |0.7377|±  |0.0121|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_2800.log b/3b_only_dpo/3b_only_dpo_ckpt_2800.log
new file mode 100644
index 0000000000000000000000000000000000000000..1ba9132455415ffd28f8f415738a6675bccaea51
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_2800.log
@@ -0,0 +1,25 @@
+2025-02-09:17:27:01,176 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:17:27:12,406 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:17:27:12,407 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
+2025-02-09:17:27:12,409 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!
+2025-02-09:17:27:12,409 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-2800'}
+2025-02-09:17:27:12,449 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:17:27:13,049 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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+2025-02-09:17:27:44,679 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:17:27:44,680 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:17:27:44,680 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:17:27:55,719 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-09:17:50:02,343 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-2800), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7445|±  |0.0120|
+|               |       |strict-match    |     8|exact_match|↑  |0.7293|±  |0.0122|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_2900.log b/3b_only_dpo/3b_only_dpo_ckpt_2900.log
new file mode 100644
index 0000000000000000000000000000000000000000..cad37a882ecd813f40c521bd4e51d3f317d53fac
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_2900.log
@@ -0,0 +1,25 @@
+2025-02-09:17:50:06,263 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:17:50:17,505 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:17:50:17,506 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
+2025-02-09:17:50:17,506 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!
+2025-02-09:17:50:17,506 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-2900'}
+2025-02-09:17:50:17,545 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:17:50:18,139 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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+2025-02-09:17:50:44,921 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:17:50:44,922 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:17:50:44,922 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:17:50:55,766 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-09:18:13:09,320 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-2900), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7377|±  |0.0121|
+|               |       |strict-match    |     8|exact_match|↑  |0.7240|±  |0.0123|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_300.log b/3b_only_dpo/3b_only_dpo_ckpt_300.log
new file mode 100644
index 0000000000000000000000000000000000000000..0100d83fc6478ffdd68a20080871e8e6e50573db
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_300.log
@@ -0,0 +1,25 @@
+2025-02-08:23:20:16,038 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-08:23:20:27,255 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-08:23:20:27,256 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
+2025-02-08:23:20:27,256 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!
+2025-02-08:23:20:27,256 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-300'}
+2025-02-08:23:20:27,294 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-08:23:20:28,195 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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+2025-02-08:23:20:55,251 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-08:23:20:55,251 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-08:23:20:55,252 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-08:23:21:06,390 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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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+2025-02-08:23:43:29,062 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-300), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7445|±  |0.0120|
+|               |       |strict-match    |     8|exact_match|↑  |0.7339|±  |0.0122|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_3000.log b/3b_only_dpo/3b_only_dpo_ckpt_3000.log
new file mode 100644
index 0000000000000000000000000000000000000000..5d54916bfcc65936402cdfb40ee16e2a433956a6
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_3000.log
@@ -0,0 +1,25 @@
+2025-02-09:18:13:13,221 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:18:13:24,353 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:18:13:24,354 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
+2025-02-09:18:13:24,354 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!
+2025-02-09:18:13:24,354 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-3000'}
+2025-02-09:18:13:24,393 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:18:13:24,986 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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+2025-02-09:18:13:51,573 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:18:13:51,574 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:18:13:51,574 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:18:14:02,613 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-09:18:36:13,088 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-3000), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7491|±  |0.0119|
+|               |       |strict-match    |     8|exact_match|↑  |0.7316|±  |0.0122|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_3100.log b/3b_only_dpo/3b_only_dpo_ckpt_3100.log
new file mode 100644
index 0000000000000000000000000000000000000000..2347cffbd7d138027858892e3090f0ce5c04d18c
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_3100.log
@@ -0,0 +1,25 @@
+2025-02-09:18:36:16,974 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:18:36:28,351 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:18:36:28,352 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
+2025-02-09:18:36:28,352 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!
+2025-02-09:18:36:28,352 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-3100'}
+2025-02-09:18:36:28,391 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:18:36:29,480 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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+2025-02-09:18:36:56,653 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:18:36:56,654 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:18:36:56,654 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:18:37:07,688 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-09:18:59:32,726 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-3100), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7430|±  |0.0120|
+|               |       |strict-match    |     8|exact_match|↑  |0.7286|±  |0.0122|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_400.log b/3b_only_dpo/3b_only_dpo_ckpt_400.log
new file mode 100644
index 0000000000000000000000000000000000000000..19cdc5cb8bc8d07ced3ec99d7d00d0767ba6e370
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_400.log
@@ -0,0 +1,25 @@
+2025-02-08:23:43:32,967 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-08:23:43:44,172 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-08:23:43:44,173 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
+2025-02-08:23:43:44,173 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!
+2025-02-08:23:43:44,173 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-400'}
+2025-02-08:23:43:44,213 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-08:23:43:44,838 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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+2025-02-08:23:44:11,252 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-08:23:44:11,252 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-08:23:44:11,253 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-08:23:44:22,640 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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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+2025-02-09:00:06:41,897 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-400), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7468|±  |0.0120|
+|               |       |strict-match    |     8|exact_match|↑  |0.7331|±  |0.0122|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_500.log b/3b_only_dpo/3b_only_dpo_ckpt_500.log
new file mode 100644
index 0000000000000000000000000000000000000000..92449f730abe450d248c9c9b24ab403699a189e3
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_500.log
@@ -0,0 +1,25 @@
+2025-02-09:00:06:45,802 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:00:06:56,889 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:00:06:56,890 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
+2025-02-09:00:06:56,890 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!
+2025-02-09:00:06:56,890 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-500'}
+2025-02-09:00:06:56,929 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:00:06:57,553 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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+2025-02-09:00:07:24,555 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:00:07:24,555 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:00:07:24,555 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:00:07:35,612 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
+
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+2025-02-09:00:29:47,511 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-500), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7468|±  |0.0120|
+|               |       |strict-match    |     8|exact_match|↑  |0.7316|±  |0.0122|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_600.log b/3b_only_dpo/3b_only_dpo_ckpt_600.log
new file mode 100644
index 0000000000000000000000000000000000000000..1f9d29cbf555dedf4233f829997d1287270b9d70
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_600.log
@@ -0,0 +1,68 @@
+2025-02-09:00:29:51,434 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:00:30:02,731 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:00:30:02,732 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
+2025-02-09:00:30:02,732 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!
+2025-02-09:00:30:02,732 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-600'}
+2025-02-09:00:30:02,770 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:00:30:03,365 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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+Traceback (most recent call last):
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py", line 304, in hf_raise_for_status
+    response.raise_for_status()
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/requests/models.py", line 1024, in raise_for_status
+    raise HTTPError(http_error_msg, response=self)
+requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/JaqueMate/new_config_3b_only_dpo_checkpoint-600/resolve/main/adapter_model.bin
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/peft/utils/save_and_load.py", line 505, in load_peft_weights
+    filename = hf_hub_download(model_id, WEIGHTS_NAME, **hf_hub_download_kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py", line 101, in inner_f
+    return f(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
+    return fn(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1240, in hf_hub_download
+    return _hf_hub_download_to_cache_dir(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1303, in _hf_hub_download_to_cache_dir
+    (url_to_download, etag, commit_hash, expected_size, head_call_error) = _get_metadata_or_catch_error(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1751, in _get_metadata_or_catch_error
+    metadata = get_hf_file_metadata(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
+    return fn(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1673, in get_hf_file_metadata
+    r = _request_wrapper(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 376, in _request_wrapper
+    response = _request_wrapper(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 400, in _request_wrapper
+    hf_raise_for_status(response)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py", line 315, in hf_raise_for_status
+    raise EntryNotFoundError(message, response) from e
+huggingface_hub.utils._errors.EntryNotFoundError: 404 Client Error. (Request ID: Root=1-67a8213e-5b1aa04e576ff13d6ffbf3e6;a00e27bc-fc00-4410-8903-30a595a9c033)
+
+Entry Not Found for url: https://huggingface.co/JaqueMate/new_config_3b_only_dpo_checkpoint-600/resolve/main/adapter_model.bin.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/__main__.py", line 467, in <module>
+    cli_evaluate()
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/__main__.py", line 387, in cli_evaluate
+    results = evaluator.simple_evaluate(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/utils.py", line 402, in _wrapper
+    return fn(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/evaluator.py", line 205, in simple_evaluate
+    lm = lm_eval.api.registry.get_model(model).create_from_arg_string(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/api/model.py", line 151, in create_from_arg_string
+    return cls(**args, **args2)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/models/huggingface.py", line 190, in __init__
+    self._create_model(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/models/huggingface.py", line 647, in _create_model
+    self._model = PeftModel.from_pretrained(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/peft/peft_model.py", line 554, in from_pretrained
+    model.load_adapter(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/peft/peft_model.py", line 1122, in load_adapter
+    adapters_weights = load_peft_weights(model_id, device=torch_device, **hf_hub_download_kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/peft/utils/save_and_load.py", line 507, in load_peft_weights
+    raise ValueError(
+ValueError: Can't find weights for JaqueMate/new_config_3b_only_dpo_checkpoint-600 in JaqueMate/new_config_3b_only_dpo_checkpoint-600 or in the Hugging Face Hub. Please check that the file adapter_model.bin or adapter_model.safetensors is present at JaqueMate/new_config_3b_only_dpo_checkpoint-600.
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_700.log b/3b_only_dpo/3b_only_dpo_ckpt_700.log
new file mode 100644
index 0000000000000000000000000000000000000000..024946a0e6d65a397a729f1f6892e2092e5cdc60
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_700.log
@@ -0,0 +1,25 @@
+2025-02-09:00:30:10,322 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:00:30:21,749 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:00:30:21,750 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
+2025-02-09:00:30:21,750 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!
+2025-02-09:00:30:21,750 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-700'}
+2025-02-09:00:30:21,790 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:00:30:22,384 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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+2025-02-09:00:30:49,212 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:00:30:49,213 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:00:30:49,213 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
+
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+2025-02-09:00:31:00,281 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-09:00:53:15,853 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-700), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7415|±  |0.0121|
+|               |       |strict-match    |     8|exact_match|↑  |0.7293|±  |0.0122|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_800.log b/3b_only_dpo/3b_only_dpo_ckpt_800.log
new file mode 100644
index 0000000000000000000000000000000000000000..be163d57d678f4564603553584e16e5737fe878c
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_800.log
@@ -0,0 +1,25 @@
+2025-02-09:00:53:19,752 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:00:53:30,960 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:00:53:30,961 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
+2025-02-09:00:53:30,961 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!
+2025-02-09:00:53:30,961 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-800'}
+2025-02-09:00:53:31,001 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:00:53:31,667 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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+2025-02-09:00:53:57,718 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:00:53:57,719 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:00:53:57,719 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
+
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+2025-02-09:00:54:08,785 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-09:01:16:22,191 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-800), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7597|±  |0.0118|
+|               |       |strict-match    |     8|exact_match|↑  |0.7453|±  |0.0120|
+
diff --git a/3b_only_dpo/3b_only_dpo_ckpt_900.log b/3b_only_dpo/3b_only_dpo_ckpt_900.log
new file mode 100644
index 0000000000000000000000000000000000000000..acec903e5f688c2dc79ca84840c5193b7a8e90f9
--- /dev/null
+++ b/3b_only_dpo/3b_only_dpo_ckpt_900.log
@@ -0,0 +1,25 @@
+2025-02-09:01:16:26,100 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:01:16:37,373 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:01:16:37,374 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
+2025-02-09:01:16:37,374 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!
+2025-02-09:01:16:37,374 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/new_config_3b_only_dpo_checkpoint-900'}
+2025-02-09:01:16:37,414 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:01:16:38,003 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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+2025-02-09:01:17:04,061 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:01:17:04,061 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:01:17:04,062 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
+
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+2025-02-09:01:17:15,427 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-09:01:39:21,265 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/new_config_3b_only_dpo_checkpoint-900), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 16
+|     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|↑  |0.7407|±  |0.0121|
+
diff --git a/3b_only_dpo/base_model.log b/3b_only_dpo/base_model.log
new file mode 100644
index 0000000000000000000000000000000000000000..129c6008e88e6d5327f4a6d9bb101925f8a8aba6
--- /dev/null
+++ b/3b_only_dpo/base_model.log
@@ -0,0 +1,265 @@
+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`.
+  warnings.warn(
+
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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|
+
+
diff --git a/3b_shuffle/base_model.log b/3b_shuffle/base_model.log
new file mode 100644
index 0000000000000000000000000000000000000000..129c6008e88e6d5327f4a6d9bb101925f8a8aba6
--- /dev/null
+++ b/3b_shuffle/base_model.log
@@ -0,0 +1,265 @@
+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'}
+
+Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]
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+Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00,  1.22s/it]
+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`.
+  warnings.warn(
+
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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|
+
+
diff --git a/3b_shuffle/solo_dpo_model_ckpt_ckpt_100.log b/3b_shuffle/solo_dpo_model_ckpt_ckpt_100.log
new file mode 100644
index 0000000000000000000000000000000000000000..3005de789dac7b1d6ced4c42e6ee02db31afdc27
--- /dev/null
+++ b/3b_shuffle/solo_dpo_model_ckpt_ckpt_100.log
@@ -0,0 +1,25 @@
+2025-02-12:14:45:01,121 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-12:14:45:12,278 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-12:14:45:12,279 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
+2025-02-12:14:45:12,279 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!
+2025-02-12:14:45:12,279 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/shuffle_3b_checkpoint-100'}
+2025-02-12:14:45:12,316 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-12:14:45:13,370 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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+2025-02-12:14:45:24,120 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-12:14:45:24,121 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-12:14:45:24,121 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-12:14:45:35,786 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-12:15:09:41,387 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/shuffle_3b_checkpoint-100), 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|↑  |0.7544|±  |0.0119|
+|               |       |strict-match    |     8|exact_match|↑  |0.7422|±  |0.0120|
+
diff --git a/3b_shuffle/solo_dpo_model_ckpt_ckpt_1000.log b/3b_shuffle/solo_dpo_model_ckpt_ckpt_1000.log
new file mode 100644
index 0000000000000000000000000000000000000000..83f3e9f9150729908bdbd035bed63780a163d6db
--- /dev/null
+++ b/3b_shuffle/solo_dpo_model_ckpt_ckpt_1000.log
@@ -0,0 +1,25 @@
+2025-02-12:18:04:30,389 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-12:18:04:41,700 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-12:18:04:41,701 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
+2025-02-12:18:04:41,701 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!
+2025-02-12:18:04:41,701 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/shuffle_3b_checkpoint-1000'}
+2025-02-12:18:04:41,740 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-12:18:04:42,346 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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+2025-02-12:18:05:09,613 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-12:18:05:09,613 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-12:18:05:09,614 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-12:18:05:20,577 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-12:18:29:12,189 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/shuffle_3b_checkpoint-1000), 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|↑  |0.7437|±  |0.0120|
+|               |       |strict-match    |     8|exact_match|↑  |0.7309|±  |0.0122|
+
diff --git a/3b_shuffle/solo_dpo_model_ckpt_ckpt_1100.log b/3b_shuffle/solo_dpo_model_ckpt_ckpt_1100.log
new file mode 100644
index 0000000000000000000000000000000000000000..27f997ef089f666a01d309b32027ffd42870246f
--- /dev/null
+++ b/3b_shuffle/solo_dpo_model_ckpt_ckpt_1100.log
@@ -0,0 +1,25 @@
+2025-02-12:18:29:16,073 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-12:18:29:27,488 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-12:18:29:27,489 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
+2025-02-12:18:29:27,489 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!
+2025-02-12:18:29:27,489 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/shuffle_3b_checkpoint-1100'}
+2025-02-12:18:29:27,529 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-12:18:29:28,126 INFO     [huggingface.py:375] Model parallel was set to False, max memory was not set, and device map was set to {'': 'cuda:0'}
+
Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]
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+2025-02-12:18:29:57,443 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-12:18:29:57,444 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-12:18:29:57,444 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-12:18:30:08,470 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-12:18:53:51,584 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/shuffle_3b_checkpoint-1100), 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|↑  |0.7392|±  |0.0121|
+|               |       |strict-match    |     8|exact_match|↑  |0.7316|±  |0.0122|
+
diff --git a/3b_shuffle/solo_dpo_model_ckpt_ckpt_1200.log b/3b_shuffle/solo_dpo_model_ckpt_ckpt_1200.log
new file mode 100644
index 0000000000000000000000000000000000000000..f05fdcfdf75cafd4aa4fafeb5b0d9dc576fb763e
--- /dev/null
+++ b/3b_shuffle/solo_dpo_model_ckpt_ckpt_1200.log
@@ -0,0 +1,25 @@
+2025-02-12:18:53:55,456 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-12:18:54:06,519 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-12:18:54:06,520 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
+2025-02-12:18:54:06,520 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!
+2025-02-12:18:54:06,520 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/shuffle_3b_checkpoint-1200'}
+2025-02-12:18:54:06,559 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-12:18:54:07,165 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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+2025-02-12:18:54:33,779 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-12:18:54:33,779 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-12:18:54:33,780 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-12:18:54:44,773 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-12:19:18:46,681 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/shuffle_3b_checkpoint-1200), 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|↑  |0.7392|±  |0.0121|
+|               |       |strict-match    |     8|exact_match|↑  |0.7278|±  |0.0123|
+
diff --git a/3b_shuffle/solo_dpo_model_ckpt_ckpt_1300.log b/3b_shuffle/solo_dpo_model_ckpt_ckpt_1300.log
new file mode 100644
index 0000000000000000000000000000000000000000..a65eb41d2acfd218d68fb197669774bfb0511c60
--- /dev/null
+++ b/3b_shuffle/solo_dpo_model_ckpt_ckpt_1300.log
@@ -0,0 +1,25 @@
+2025-02-12:19:18:50,588 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-12:19:19:02,051 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-12:19:19:02,052 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
+2025-02-12:19:19:02,052 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!
+2025-02-12:19:19:02,053 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/shuffle_3b_checkpoint-1300'}
+2025-02-12:19:19:02,091 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-12:19:19:03,467 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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+2025-02-12:19:19:32,638 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-12:19:19:32,639 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-12:19:19:32,639 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-12:19:19:43,521 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-12:19:43:44,969 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/shuffle_3b_checkpoint-1300), 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|↑  |0.7369|±  |0.0121|
+|               |       |strict-match    |     8|exact_match|↑  |0.7263|±  |0.0123|
+
diff --git a/3b_shuffle/solo_dpo_model_ckpt_ckpt_1400.log b/3b_shuffle/solo_dpo_model_ckpt_ckpt_1400.log
new file mode 100644
index 0000000000000000000000000000000000000000..794162ca4db399b194525f5c5586b7acd51eded9
--- /dev/null
+++ b/3b_shuffle/solo_dpo_model_ckpt_ckpt_1400.log
@@ -0,0 +1,25 @@
+2025-02-12:19:43:48,852 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-12:19:44:00,046 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-12:19:44:00,047 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
+2025-02-12:19:44:00,047 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!
+2025-02-12:19:44:00,047 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/shuffle_3b_checkpoint-1400'}
+2025-02-12:19:44:00,086 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-12:19:44:01,151 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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+2025-02-12:19:44:28,739 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-12:19:44:28,739 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-12:19:44:28,740 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-12:19:44:39,581 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-12:20:08:13,507 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/shuffle_3b_checkpoint-1400), 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|↑  |0.7407|±  |0.0121|
+|               |       |strict-match    |     8|exact_match|↑  |0.7286|±  |0.0122|
+
diff --git a/3b_shuffle/solo_dpo_model_ckpt_ckpt_1500.log b/3b_shuffle/solo_dpo_model_ckpt_ckpt_1500.log
new file mode 100644
index 0000000000000000000000000000000000000000..2ac460969d684f3005b7fd409670ea395d68ed37
--- /dev/null
+++ b/3b_shuffle/solo_dpo_model_ckpt_ckpt_1500.log
@@ -0,0 +1,25 @@
+2025-02-12:20:08:17,366 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-12:20:08:28,544 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-12:20:08:28,545 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
+2025-02-12:20:08:28,545 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!
+2025-02-12:20:08:28,545 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/shuffle_3b_checkpoint-1500'}
+2025-02-12:20:08:28,585 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-12:20:08:29,342 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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+2025-02-12:20:08:57,874 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-12:20:08:57,875 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-12:20:08:57,875 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-12:20:09:08,599 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-12:20:32:52,521 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/shuffle_3b_checkpoint-1500), 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|↑  |0.7483|±  |0.0120|
+|               |       |strict-match    |     8|exact_match|↑  |0.7346|±  |0.0122|
+
diff --git a/3b_shuffle/solo_dpo_model_ckpt_ckpt_1600.log b/3b_shuffle/solo_dpo_model_ckpt_ckpt_1600.log
new file mode 100644
index 0000000000000000000000000000000000000000..17b453c5c71338327f306d15d0e0bd655f0042df
--- /dev/null
+++ b/3b_shuffle/solo_dpo_model_ckpt_ckpt_1600.log
@@ -0,0 +1,18 @@
+2025-02-12:20:32:56,379 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-12:20:33:07,533 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-12:20:33:07,534 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
+2025-02-12:20:33:07,535 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!
+2025-02-12:20:33:07,535 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/shuffle_3b_checkpoint-1600'}
+2025-02-12:20:33:07,573 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-12:20:33:08,620 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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+2025-02-12:20:33:38,518 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-12:20:33:38,519 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-12:20:33:38,519 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-12:20:33:49,340 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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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\ No newline at end of file
diff --git a/3b_shuffle/solo_dpo_model_ckpt_ckpt_200.log b/3b_shuffle/solo_dpo_model_ckpt_ckpt_200.log
new file mode 100644
index 0000000000000000000000000000000000000000..20ee83a55f45a022d601a02c9d86bcf40919fd18
--- /dev/null
+++ b/3b_shuffle/solo_dpo_model_ckpt_ckpt_200.log
@@ -0,0 +1,25 @@
+2025-02-12:15:09:45,681 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-12:15:09:57,311 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-12:15:09:57,312 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
+2025-02-12:15:09:57,312 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!
+2025-02-12:15:09:57,312 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/shuffle_3b_checkpoint-200'}
+2025-02-12:15:09:57,354 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-12:15:09:57,985 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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+2025-02-12:15:10:18,476 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-12:15:10:18,477 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-12:15:10:18,477 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-12:15:10:29,232 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-12:15:34:42,082 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/shuffle_3b_checkpoint-200), 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|↑  |0.7521|±  |0.0119|
+|               |       |strict-match    |     8|exact_match|↑  |0.7384|±  |0.0121|
+
diff --git a/3b_shuffle/solo_dpo_model_ckpt_ckpt_300.log b/3b_shuffle/solo_dpo_model_ckpt_ckpt_300.log
new file mode 100644
index 0000000000000000000000000000000000000000..dd439681f765461227ea19567b87f1e681081bef
--- /dev/null
+++ b/3b_shuffle/solo_dpo_model_ckpt_ckpt_300.log
@@ -0,0 +1,25 @@
+2025-02-12:15:34:45,960 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-12:15:34:57,142 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-12:15:34:57,143 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
+2025-02-12:15:34:57,143 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!
+2025-02-12:15:34:57,143 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/shuffle_3b_checkpoint-300'}
+2025-02-12:15:34:57,182 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-12:15:34:57,786 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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+2025-02-12:15:35:23,950 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-12:15:35:23,951 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-12:15:35:23,951 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-12:15:35:35,260 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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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+2025-02-12:15:59:44,644 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/shuffle_3b_checkpoint-300), 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|↑  |0.7506|±  |0.0119|
+|               |       |strict-match    |     8|exact_match|↑  |0.7377|±  |0.0121|
+
diff --git a/3b_shuffle/solo_dpo_model_ckpt_ckpt_400.log b/3b_shuffle/solo_dpo_model_ckpt_ckpt_400.log
new file mode 100644
index 0000000000000000000000000000000000000000..292b0b1d608eaf0125160fc98531e1c8b7dd70cd
--- /dev/null
+++ b/3b_shuffle/solo_dpo_model_ckpt_ckpt_400.log
@@ -0,0 +1,68 @@
+2025-02-12:15:59:48,540 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-12:15:59:59,603 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-12:15:59:59,605 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
+2025-02-12:15:59:59,605 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!
+2025-02-12:15:59:59,605 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/shuffle_3b_checkpoint-400'}
+2025-02-12:15:59:59,643 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-12:16:00:00,237 INFO     [huggingface.py:375] Model parallel was set to False, max memory was not set, and device map was set to {'': 'cuda:0'}
+
Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]
Loading checkpoint shards:  50%|█████     | 1/2 [00:01<00:01,  1.16s/it]
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Loading checkpoint shards: 100%|██████████| 2/2 [00:01<00:00,  1.28it/s]
+Traceback (most recent call last):
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py", line 304, in hf_raise_for_status
+    response.raise_for_status()
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/requests/models.py", line 1024, in raise_for_status
+    raise HTTPError(http_error_msg, response=self)
+requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/JaqueMate/shuffle_3b_checkpoint-400/resolve/main/adapter_model.bin
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/peft/utils/save_and_load.py", line 505, in load_peft_weights
+    filename = hf_hub_download(model_id, WEIGHTS_NAME, **hf_hub_download_kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py", line 101, in inner_f
+    return f(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
+    return fn(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1240, in hf_hub_download
+    return _hf_hub_download_to_cache_dir(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1303, in _hf_hub_download_to_cache_dir
+    (url_to_download, etag, commit_hash, expected_size, head_call_error) = _get_metadata_or_catch_error(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1751, in _get_metadata_or_catch_error
+    metadata = get_hf_file_metadata(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
+    return fn(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1673, in get_hf_file_metadata
+    r = _request_wrapper(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 376, in _request_wrapper
+    response = _request_wrapper(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 400, in _request_wrapper
+    hf_raise_for_status(response)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py", line 315, in hf_raise_for_status
+    raise EntryNotFoundError(message, response) from e
+huggingface_hub.utils._errors.EntryNotFoundError: 404 Client Error. (Request ID: Root=1-67acefb3-2a2ab3066812d85f696be393;9ed4d936-524e-473d-acad-a42f28cfdaf8)
+
+Entry Not Found for url: https://huggingface.co/JaqueMate/shuffle_3b_checkpoint-400/resolve/main/adapter_model.bin.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/__main__.py", line 467, in <module>
+    cli_evaluate()
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/__main__.py", line 387, in cli_evaluate
+    results = evaluator.simple_evaluate(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/utils.py", line 402, in _wrapper
+    return fn(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/evaluator.py", line 205, in simple_evaluate
+    lm = lm_eval.api.registry.get_model(model).create_from_arg_string(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/api/model.py", line 151, in create_from_arg_string
+    return cls(**args, **args2)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/models/huggingface.py", line 190, in __init__
+    self._create_model(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/models/huggingface.py", line 647, in _create_model
+    self._model = PeftModel.from_pretrained(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/peft/peft_model.py", line 554, in from_pretrained
+    model.load_adapter(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/peft/peft_model.py", line 1122, in load_adapter
+    adapters_weights = load_peft_weights(model_id, device=torch_device, **hf_hub_download_kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/peft/utils/save_and_load.py", line 507, in load_peft_weights
+    raise ValueError(
+ValueError: Can't find weights for JaqueMate/shuffle_3b_checkpoint-400 in JaqueMate/shuffle_3b_checkpoint-400 or in the Hugging Face Hub. Please check that the file adapter_model.bin or adapter_model.safetensors is present at JaqueMate/shuffle_3b_checkpoint-400.
diff --git a/3b_shuffle/solo_dpo_model_ckpt_ckpt_500.log b/3b_shuffle/solo_dpo_model_ckpt_ckpt_500.log
new file mode 100644
index 0000000000000000000000000000000000000000..da8a1ac3f20f274dd2c9cc497c5a9704eb675957
--- /dev/null
+++ b/3b_shuffle/solo_dpo_model_ckpt_ckpt_500.log
@@ -0,0 +1,25 @@
+2025-02-12:16:00:07,205 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-12:16:00:18,326 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-12:16:00:18,327 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
+2025-02-12:16:00:18,328 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!
+2025-02-12:16:00:18,328 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/shuffle_3b_checkpoint-500'}
+2025-02-12:16:00:18,367 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-12:16:00:18,959 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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+2025-02-12:16:00:46,855 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-12:16:00:46,856 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-12:16:00:46,856 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-12:16:00:58,149 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-12:16:24:55,580 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/shuffle_3b_checkpoint-500), 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|↑  |0.7521|±  |0.0119|
+|               |       |strict-match    |     8|exact_match|↑  |0.7362|±  |0.0121|
+
diff --git a/3b_shuffle/solo_dpo_model_ckpt_ckpt_600.log b/3b_shuffle/solo_dpo_model_ckpt_ckpt_600.log
new file mode 100644
index 0000000000000000000000000000000000000000..08bd1b3c9b390efbed3999fd626c80c50a7cc539
--- /dev/null
+++ b/3b_shuffle/solo_dpo_model_ckpt_ckpt_600.log
@@ -0,0 +1,25 @@
+2025-02-12:16:24:59,478 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-12:16:25:10,730 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-12:16:25:10,731 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
+2025-02-12:16:25:10,731 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!
+2025-02-12:16:25:10,731 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/shuffle_3b_checkpoint-600'}
+2025-02-12:16:25:10,771 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-12:16:25:11,376 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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+2025-02-12:16:25:42,817 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-12:16:25:42,818 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-12:16:25:42,818 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-12:16:25:53,932 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-12:16:50:02,566 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/shuffle_3b_checkpoint-600), 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|↑  |0.7491|±  |0.0119|
+|               |       |strict-match    |     8|exact_match|↑  |0.7346|±  |0.0122|
+
diff --git a/3b_shuffle/solo_dpo_model_ckpt_ckpt_700.log b/3b_shuffle/solo_dpo_model_ckpt_ckpt_700.log
new file mode 100644
index 0000000000000000000000000000000000000000..77db3a9997ce96e96c67ecd8fd4be9317290c268
--- /dev/null
+++ b/3b_shuffle/solo_dpo_model_ckpt_ckpt_700.log
@@ -0,0 +1,25 @@
+2025-02-12:16:50:06,568 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-12:16:50:17,756 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-12:16:50:17,757 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
+2025-02-12:16:50:17,757 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!
+2025-02-12:16:50:17,757 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/shuffle_3b_checkpoint-700'}
+2025-02-12:16:50:17,797 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-12:16:50:18,493 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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+2025-02-12:16:50:45,621 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-12:16:50:45,621 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-12:16:50:45,622 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-12:16:50:56,809 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-12:17:14:57,107 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/shuffle_3b_checkpoint-700), 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|↑  |0.7498|±  |0.0119|
+|               |       |strict-match    |     8|exact_match|↑  |0.7384|±  |0.0121|
+
diff --git a/3b_shuffle/solo_dpo_model_ckpt_ckpt_800.log b/3b_shuffle/solo_dpo_model_ckpt_ckpt_800.log
new file mode 100644
index 0000000000000000000000000000000000000000..377337027ee00299690a215edcf4018c9a04ea42
--- /dev/null
+++ b/3b_shuffle/solo_dpo_model_ckpt_ckpt_800.log
@@ -0,0 +1,25 @@
+2025-02-12:17:15:01,049 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-12:17:15:12,534 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-12:17:15:12,535 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
+2025-02-12:17:15:12,535 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!
+2025-02-12:17:15:12,535 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/shuffle_3b_checkpoint-800'}
+2025-02-12:17:15:12,573 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-12:17:15:13,192 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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+2025-02-12:17:15:39,656 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-12:17:15:39,656 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-12:17:15:39,657 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-12:17:15:50,932 INFO     [evaluator.py:513] Running generate_until requests
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+  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`.
+  warnings.warn(
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+2025-02-12:17:39:38,606 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/shuffle_3b_checkpoint-800), 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|↑  |0.7475|±  |0.0120|
+|               |       |strict-match    |     8|exact_match|↑  |0.7324|±  |0.0122|
+
diff --git a/3b_shuffle/solo_dpo_model_ckpt_ckpt_900.log b/3b_shuffle/solo_dpo_model_ckpt_ckpt_900.log
new file mode 100644
index 0000000000000000000000000000000000000000..cc3ab0a9cb3d8a83263d6c6aa95f8b45e0eeacb7
--- /dev/null
+++ b/3b_shuffle/solo_dpo_model_ckpt_ckpt_900.log
@@ -0,0 +1,25 @@
+2025-02-12:17:39:42,525 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-12:17:39:53,820 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-12:17:39:53,821 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
+2025-02-12:17:39:53,821 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!
+2025-02-12:17:39:53,821 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Llama-3.2-3B-Instruct', 'peft': 'JaqueMate/shuffle_3b_checkpoint-900'}
+2025-02-12:17:39:53,861 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-12:17:39:54,513 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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+2025-02-12:17:40:23,605 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-12:17:40:23,605 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-12:17:40:23,605 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-12:17:40:34,735 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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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+2025-02-12:18:04:26,439 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Llama-3.2-3B-Instruct,peft=JaqueMate/shuffle_3b_checkpoint-900), 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|↑  |0.7468|±  |0.0120|
+|               |       |strict-match    |     8|exact_match|↑  |0.7339|±  |0.0122|
+
diff --git a/8b_only_dpo/solo_dpo_model_base.log b/8b_only_dpo/solo_dpo_model_base.log
new file mode 100644
index 0000000000000000000000000000000000000000..1195453a62f1e73e2b3d5ee72dcfb4010f36ab3a
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_base.log
@@ -0,0 +1,25 @@
+2025-02-06:10:04:25,579 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-06:10:04:37,567 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-06:10:04:37,568 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
+2025-02-06:10:04:37,568 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!
+2025-02-06:10:04:37,569 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct'}
+2025-02-06:10:04:37,615 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-06:10:04:38,416 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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+2025-02-06:10:04:49,323 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-06:10:04:49,324 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-06:10:04:49,324 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-06:10:05:01,456 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-06:10:46:25,129 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6793|±  |0.0129|
+|               |       |strict-match    |     8|exact_match|↑  |0.6717|±  |0.0129|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_100.log b/8b_only_dpo/solo_dpo_model_ckpt_100.log
new file mode 100644
index 0000000000000000000000000000000000000000..b5dbd069bd6ed410057c93e7d1a8e2679aeb0c15
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_100.log
@@ -0,0 +1,25 @@
+2025-02-06:11:19:17,726 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-06:11:19:29,750 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-06:11:19:29,751 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
+2025-02-06:11:19:29,752 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!
+2025-02-06:11:19:29,752 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/solo_dpo_checkpoint-100'}
+2025-02-06:11:19:29,793 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-06:11:19:30,520 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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+2025-02-06:11:20:14,907 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-06:11:20:14,908 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-06:11:20:14,908 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-06:11:20:27,063 INFO     [evaluator.py:513] Running generate_until requests
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+  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`.
+  warnings.warn(
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+2025-02-06:12:11:06,480 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/solo_dpo_checkpoint-100), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6641|±  |0.0130|
+|               |       |strict-match    |     8|exact_match|↑  |0.6497|±  |0.0131|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_200.log b/8b_only_dpo/solo_dpo_model_ckpt_200.log
new file mode 100644
index 0000000000000000000000000000000000000000..d704f81950a991310ecaab7e218e7dbb059df217
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_200.log
@@ -0,0 +1,25 @@
+2025-02-06:12:11:10,392 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-06:12:11:21,666 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-06:12:11:21,667 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
+2025-02-06:12:11:21,667 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!
+2025-02-06:12:11:21,667 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/solo_dpo_checkpoint-200'}
+2025-02-06:12:11:21,706 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-06:12:11:22,311 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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+2025-02-06:12:12:03,559 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-06:12:12:03,559 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-06:12:12:03,560 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-06:12:12:14,829 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-06:13:02:55,825 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/solo_dpo_checkpoint-200), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6679|±  |0.0130|
+|               |       |strict-match    |     8|exact_match|↑  |0.6550|±  |0.0131|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_300.log b/8b_only_dpo/solo_dpo_model_ckpt_300.log
new file mode 100644
index 0000000000000000000000000000000000000000..9ca1b084b246b0e70afcf59855186a1173f241eb
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_300.log
@@ -0,0 +1,25 @@
+2025-02-06:13:02:59,775 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-06:13:03:11,079 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-06:13:03:11,080 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
+2025-02-06:13:03:11,080 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!
+2025-02-06:13:03:11,080 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/solo_dpo_checkpoint-300'}
+2025-02-06:13:03:11,118 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-06:13:03:11,744 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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+2025-02-06:13:04:02,898 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-06:13:04:02,898 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-06:13:04:02,899 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-06:13:04:14,090 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-06:13:54:11,075 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/solo_dpo_checkpoint-300), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6793|±  |0.0129|
+|               |       |strict-match    |     8|exact_match|↑  |0.6634|±  |0.0130|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_400.log b/8b_only_dpo/solo_dpo_model_ckpt_400.log
new file mode 100644
index 0000000000000000000000000000000000000000..56fc666f93599f9e5a5456638cd5faa2c311e3ae
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_400.log
@@ -0,0 +1,25 @@
+2025-02-06:13:54:14,985 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-06:13:54:26,232 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-06:13:54:26,233 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
+2025-02-06:13:54:26,233 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!
+2025-02-06:13:54:26,233 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/solo_dpo_checkpoint-400'}
+2025-02-06:13:54:26,273 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-06:13:54:26,866 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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+2025-02-06:13:55:07,646 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-06:13:55:07,646 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-06:13:55:07,647 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-06:13:55:18,511 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-06:14:45:02,562 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/solo_dpo_checkpoint-400), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6937|±  |0.0127|
+|               |       |strict-match    |     8|exact_match|↑  |0.6755|±  |0.0129|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_500.log b/8b_only_dpo/solo_dpo_model_ckpt_500.log
new file mode 100644
index 0000000000000000000000000000000000000000..594b9456d74035dc96d51f5335df86440fd0c336
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_500.log
@@ -0,0 +1,25 @@
+2025-02-06:14:45:06,475 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-06:14:45:17,931 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-06:14:45:17,932 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
+2025-02-06:14:45:17,932 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!
+2025-02-06:14:45:17,932 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/solo_dpo_checkpoint-500'}
+2025-02-06:14:45:17,971 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-06:14:45:18,578 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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+2025-02-06:14:45:59,317 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-06:14:45:59,318 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-06:14:45:59,318 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-06:14:46:10,228 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-06:15:35:26,295 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/solo_dpo_checkpoint-500), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6990|±  |0.0126|
+|               |       |strict-match    |     8|exact_match|↑  |0.6816|±  |0.0128|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_600.log b/8b_only_dpo/solo_dpo_model_ckpt_600.log
new file mode 100644
index 0000000000000000000000000000000000000000..72acf3bd6d35668ecfd07f3f88732161aaea4db5
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_600.log
@@ -0,0 +1,25 @@
+2025-02-06:15:35:30,206 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-06:15:35:41,457 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-06:15:35:41,458 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
+2025-02-06:15:35:41,458 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!
+2025-02-06:15:35:41,458 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/solo_dpo_checkpoint-600'}
+2025-02-06:15:35:41,498 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-06:15:35:42,109 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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+2025-02-06:15:36:23,340 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-06:15:36:23,340 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-06:15:36:23,341 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-06:15:36:34,497 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-06:16:26:33,957 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/solo_dpo_checkpoint-600), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6793|±  |0.0129|
+|               |       |strict-match    |     8|exact_match|↑  |0.6641|±  |0.0130|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_700.log b/8b_only_dpo/solo_dpo_model_ckpt_700.log
new file mode 100644
index 0000000000000000000000000000000000000000..f36cc77a111e8ed41fe7c7ddc3d959ad21072d2b
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_700.log
@@ -0,0 +1,25 @@
+2025-02-06:17:56:45,715 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-06:17:56:57,796 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-06:17:56:57,798 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
+2025-02-06:17:56:57,798 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!
+2025-02-06:17:56:57,798 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/solo_dpo_checkpoint-700'}
+2025-02-06:17:56:57,844 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-06:17:56:58,659 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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+2025-02-06:17:57:12,302 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-06:17:57:12,303 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-06:17:57:12,303 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-06:17:57:23,800 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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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+2025-02-06:18:46:30,931 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/solo_dpo_checkpoint-700), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6937|±  |0.0127|
+|               |       |strict-match    |     8|exact_match|↑  |0.6785|±  |0.0129|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_100.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_100.log
new file mode 100644
index 0000000000000000000000000000000000000000..b7a2c24ad1232f170b2303bd72990dc9cd813a0b
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_100.log
@@ -0,0 +1,34 @@
+2025-02-11:10:21:59,427 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-11:10:22:10,547 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-11:10:22:10,548 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
+2025-02-11:10:22:10,548 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!
+2025-02-11:10:22:10,548 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/shuffle_checkpoint-100'}
+2025-02-11:10:22:10,589 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-11:10:22:11,221 INFO     [huggingface.py:375] Model parallel was set to False, max memory was not set, and device map was set to {'': 'cuda:0'}
+
Loading checkpoint shards:   0%|          | 0/4 [00:00<?, ?it/s]
Loading checkpoint shards:  25%|██▌       | 1/4 [00:05<00:15,  5.08s/it]
Loading checkpoint shards:  25%|██▌       | 1/4 [00:07<00:23,  7.94s/it]
+Traceback (most recent call last):
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/__main__.py", line 467, in <module>
+    cli_evaluate()
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/__main__.py", line 387, in cli_evaluate
+    results = evaluator.simple_evaluate(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/utils.py", line 402, in _wrapper
+    return fn(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/evaluator.py", line 205, in simple_evaluate
+    lm = lm_eval.api.registry.get_model(model).create_from_arg_string(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/api/model.py", line 151, in create_from_arg_string
+    return cls(**args, **args2)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/models/huggingface.py", line 190, in __init__
+    self._create_model(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/models/huggingface.py", line 586, in _create_model
+    self._model = self.AUTO_MODEL_CLASS.from_pretrained(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py", line 564, in from_pretrained
+    return model_class.from_pretrained(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/transformers/modeling_utils.py", line 3961, in from_pretrained
+    ) = cls._load_pretrained_model(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/transformers/modeling_utils.py", line 4435, in _load_pretrained_model
+    new_error_msgs, offload_index, state_dict_index = _load_state_dict_into_meta_model(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/transformers/modeling_utils.py", line 962, in _load_state_dict_into_meta_model
+    set_module_tensor_to_device(model, param_name, param_device, **set_module_kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/accelerate/utils/modeling.py", line 416, in set_module_tensor_to_device
+    new_value = value.to(device)
+KeyboardInterrupt
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1000.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1000.log
new file mode 100644
index 0000000000000000000000000000000000000000..933ff1299dec10107c10fe1833508ee1200e340f
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1000.log
@@ -0,0 +1,25 @@
+2025-02-09:22:41:45,858 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:22:41:56,962 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:22:41:56,963 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
+2025-02-09:22:41:56,963 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!
+2025-02-09:22:41:56,963 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/new_config_checkpoint-1000'}
+2025-02-09:22:41:57,002 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:22:41:57,612 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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+2025-02-09:22:42:19,383 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:22:42:19,384 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:22:42:19,384 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:22:42:30,590 INFO     [evaluator.py:513] Running generate_until requests
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+  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`.
+  warnings.warn(
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+2025-02-09:23:33:13,615 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/new_config_checkpoint-1000), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6581|±  |0.0131|
+|               |       |strict-match    |     8|exact_match|↑  |0.6467|±  |0.0132|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1100.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1100.log
new file mode 100644
index 0000000000000000000000000000000000000000..a42ecb040fc3fbafacec1265f9ac21c9b8be362f
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1100.log
@@ -0,0 +1,25 @@
+2025-02-09:23:33:17,506 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:23:33:28,853 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:23:33:28,854 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
+2025-02-09:23:33:28,854 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!
+2025-02-09:23:33:28,854 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/new_config_checkpoint-1100'}
+2025-02-09:23:33:28,894 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:23:33:29,574 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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+2025-02-09:23:34:10,195 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:23:34:10,196 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:23:34:10,196 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:23:34:21,287 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-10:00:25:33,966 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/new_config_checkpoint-1100), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6649|±  |0.0130|
+|               |       |strict-match    |     8|exact_match|↑  |0.6429|±  |0.0132|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1200.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1200.log
new file mode 100644
index 0000000000000000000000000000000000000000..e3d4ef5731dae769fa61f1d418a4c10fddeb5678
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1200.log
@@ -0,0 +1,25 @@
+2025-02-10:00:25:37,878 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-10:00:25:49,014 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-10:00:25:49,015 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
+2025-02-10:00:25:49,015 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!
+2025-02-10:00:25:49,015 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/new_config_checkpoint-1200'}
+2025-02-10:00:25:49,054 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-10:00:25:49,650 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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+2025-02-10:00:26:30,168 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-10:00:26:30,168 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-10:00:26:30,168 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-10:00:26:41,166 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-10:01:17:32,708 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/new_config_checkpoint-1200), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6573|±  |0.0131|
+|               |       |strict-match    |     8|exact_match|↑  |0.6422|±  |0.0132|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1300.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1300.log
new file mode 100644
index 0000000000000000000000000000000000000000..ff6f82f9eaf54b803e7f10f65ce77847efc39e4e
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1300.log
@@ -0,0 +1,25 @@
+2025-02-10:01:17:36,636 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-10:01:17:47,816 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-10:01:17:47,817 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
+2025-02-10:01:17:47,817 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!
+2025-02-10:01:17:47,817 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/new_config_checkpoint-1300'}
+2025-02-10:01:17:47,856 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-10:01:17:48,468 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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+2025-02-10:01:18:28,860 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-10:01:18:28,861 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-10:01:18:28,861 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-10:01:18:39,866 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-10:02:10:33,878 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/new_config_checkpoint-1300), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6262|±  |0.0133|
+|               |       |strict-match    |     8|exact_match|↑  |0.6103|±  |0.0134|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1400.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1400.log
new file mode 100644
index 0000000000000000000000000000000000000000..9159e8c640afc9d42b0bb01ea7d532511d05ba5b
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1400.log
@@ -0,0 +1,25 @@
+2025-02-10:02:10:37,828 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-10:02:10:49,068 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-10:02:10:49,069 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
+2025-02-10:02:10:49,069 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!
+2025-02-10:02:10:49,069 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/new_config_checkpoint-1400'}
+2025-02-10:02:10:49,109 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-10:02:10:49,708 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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+2025-02-10:02:11:30,379 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-10:02:11:30,380 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-10:02:11:30,380 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-10:02:11:41,519 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-10:03:04:55,585 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/new_config_checkpoint-1400), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.5936|±  |0.0135|
+|               |       |strict-match    |     8|exact_match|↑  |0.5883|±  |0.0136|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1500.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1500.log
new file mode 100644
index 0000000000000000000000000000000000000000..b92fda58192a83c265901eec7d18ea2cf976f5a0
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1500.log
@@ -0,0 +1,25 @@
+2025-02-10:03:04:59,471 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-10:03:05:10,660 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-10:03:05:10,661 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
+2025-02-10:03:05:10,661 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!
+2025-02-10:03:05:10,661 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/new_config_checkpoint-1500'}
+2025-02-10:03:05:10,701 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-10:03:05:11,317 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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+2025-02-10:03:05:52,344 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-10:03:05:52,344 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-10:03:05:52,345 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-10:03:06:03,469 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-10:03:59:53,079 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/new_config_checkpoint-1500), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.5709|±  |0.0136|
+|               |       |strict-match    |     8|exact_match|↑  |0.5656|±  |0.0137|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1600.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1600.log
new file mode 100644
index 0000000000000000000000000000000000000000..6e6abeae9e965fd1ff5b6b84008ef189982c4ff6
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1600.log
@@ -0,0 +1,25 @@
+2025-02-10:03:59:56,958 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-10:04:00:08,159 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-10:04:00:08,160 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
+2025-02-10:04:00:08,160 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!
+2025-02-10:04:00:08,160 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/new_config_checkpoint-1600'}
+2025-02-10:04:00:08,198 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-10:04:00:08,836 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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+2025-02-10:04:00:51,471 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-10:04:00:51,471 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-10:04:00:51,472 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-10:04:01:02,555 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-10:04:53:52,494 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/new_config_checkpoint-1600), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6088|±  |0.0134|
+|               |       |strict-match    |     8|exact_match|↑  |0.5967|±  |0.0135|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1700.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1700.log
new file mode 100644
index 0000000000000000000000000000000000000000..5b765e05d10e684c562e0b8a435662f4ec68f066
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1700.log
@@ -0,0 +1,25 @@
+2025-02-10:04:53:56,380 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-10:04:54:07,695 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-10:04:54:07,696 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
+2025-02-10:04:54:07,696 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!
+2025-02-10:04:54:07,696 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/new_config_checkpoint-1700'}
+2025-02-10:04:54:07,737 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-10:04:54:08,343 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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+2025-02-10:04:54:49,818 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-10:04:54:49,818 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-10:04:54:49,819 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
+
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+2025-02-10:04:55:00,980 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-10:05:47:53,898 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/new_config_checkpoint-1700), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6096|±  |0.0134|
+|               |       |strict-match    |     8|exact_match|↑  |0.5989|±  |0.0135|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1800.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1800.log
new file mode 100644
index 0000000000000000000000000000000000000000..8a8ebf6bcc83056e79f9c5a0028a8b996de860c6
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1800.log
@@ -0,0 +1,25 @@
+2025-02-10:05:47:57,844 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-10:05:48:09,188 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-10:05:48:09,189 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
+2025-02-10:05:48:09,189 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!
+2025-02-10:05:48:09,189 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/new_config_checkpoint-1800'}
+2025-02-10:05:48:09,229 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-10:05:48:09,833 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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+2025-02-10:05:48:52,322 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-10:05:48:52,323 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-10:05:48:52,323 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-10:05:49:03,429 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-10:06:41:19,022 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/new_config_checkpoint-1800), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6300|±  |0.0133|
+|               |       |strict-match    |     8|exact_match|↑  |0.6149|±  |0.0134|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1900.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1900.log
new file mode 100644
index 0000000000000000000000000000000000000000..3c8131a46b522d61660dafd6b17fcb520b4d3bbe
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_1900.log
@@ -0,0 +1,25 @@
+2025-02-10:06:41:22,932 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-10:06:41:34,250 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-10:06:41:34,251 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
+2025-02-10:06:41:34,252 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!
+2025-02-10:06:41:34,252 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/new_config_checkpoint-1900'}
+2025-02-10:06:41:34,290 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-10:06:41:34,932 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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+2025-02-10:06:42:16,078 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-10:06:42:16,078 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-10:06:42:16,079 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-10:06:42:27,124 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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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+2025-02-10:07:35:54,136 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/new_config_checkpoint-1900), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.5997|±  |0.0135|
+|               |       |strict-match    |     8|exact_match|↑  |0.5861|±  |0.0136|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2000.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2000.log
new file mode 100644
index 0000000000000000000000000000000000000000..c186b5e216085bb317a2e2f8ce3f3759c6917428
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2000.log
@@ -0,0 +1,25 @@
+2025-02-10:07:35:58,050 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-10:07:36:09,435 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-10:07:36:09,437 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
+2025-02-10:07:36:09,437 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!
+2025-02-10:07:36:09,437 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/new_config_checkpoint-2000'}
+2025-02-10:07:36:09,476 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-10:07:36:10,085 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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+2025-02-10:07:36:51,146 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-10:07:36:51,147 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-10:07:36:51,147 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-10:07:37:02,283 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-10:08:29:43,966 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/new_config_checkpoint-2000), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6217|±  |0.0134|
+|               |       |strict-match    |     8|exact_match|↑  |0.6088|±  |0.0134|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2100.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2100.log
new file mode 100644
index 0000000000000000000000000000000000000000..16ba5f417da2dca5814ea0910ff97eb44fc4aa74
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2100.log
@@ -0,0 +1,25 @@
+2025-02-10:08:29:47,863 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-10:08:29:58,996 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-10:08:29:58,997 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
+2025-02-10:08:29:58,997 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!
+2025-02-10:08:29:58,997 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/new_config_checkpoint-2100'}
+2025-02-10:08:29:59,037 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-10:08:29:59,692 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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+2025-02-10:08:30:40,513 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-10:08:30:40,514 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-10:08:30:40,514 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-10:08:30:51,698 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-10:09:22:49,114 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/new_config_checkpoint-2100), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6422|±  |0.0132|
+|               |       |strict-match    |     8|exact_match|↑  |0.6232|±  |0.0133|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2200.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2200.log
new file mode 100644
index 0000000000000000000000000000000000000000..6e2b739fd5d1c7fab3e01f320b5f5bddf186e748
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2200.log
@@ -0,0 +1,25 @@
+2025-02-10:09:22:53,008 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-10:09:23:04,230 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-10:09:23:04,231 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
+2025-02-10:09:23:04,231 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!
+2025-02-10:09:23:04,231 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/new_config_checkpoint-2200'}
+2025-02-10:09:23:04,270 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-10:09:23:04,960 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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+2025-02-10:09:23:46,078 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-10:09:23:46,079 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-10:09:23:46,079 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-10:09:23:56,908 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-10:10:15:57,230 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/new_config_checkpoint-2200), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6300|±  |0.0133|
+|               |       |strict-match    |     8|exact_match|↑  |0.6141|±  |0.0134|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2300.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2300.log
new file mode 100644
index 0000000000000000000000000000000000000000..a8fb141644540361ce6969600e5120bb7bb64106
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2300.log
@@ -0,0 +1,25 @@
+2025-02-10:10:16:01,127 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-10:10:16:12,306 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-10:10:16:12,308 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
+2025-02-10:10:16:12,308 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!
+2025-02-10:10:16:12,308 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/new_config_checkpoint-2300'}
+2025-02-10:10:16:12,346 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-10:10:16:12,945 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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+2025-02-10:10:16:53,994 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-10:10:16:53,994 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-10:10:16:53,995 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
+
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+2025-02-10:10:17:04,885 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-10:11:08:56,472 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/new_config_checkpoint-2300), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6391|±  |0.0132|
+|               |       |strict-match    |     8|exact_match|↑  |0.6262|±  |0.0133|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2400.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2400.log
new file mode 100644
index 0000000000000000000000000000000000000000..ede74f6a5da4026f34433159dbbedc6cbc31879a
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2400.log
@@ -0,0 +1,25 @@
+2025-02-10:11:09:00,399 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-10:11:09:11,555 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-10:11:09:11,556 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
+2025-02-10:11:09:11,557 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!
+2025-02-10:11:09:11,557 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/new_config_checkpoint-2400'}
+2025-02-10:11:09:11,596 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-10:11:09:12,300 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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+2025-02-10:11:09:53,240 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-10:11:09:53,240 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-10:11:09:53,241 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-10:11:10:04,421 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-10:12:01:39,251 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/new_config_checkpoint-2400), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6361|±  |0.0133|
+|               |       |strict-match    |     8|exact_match|↑  |0.6232|±  |0.0133|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2500.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2500.log
new file mode 100644
index 0000000000000000000000000000000000000000..8451cee2c117068ea14dc7937bdd0d5549bf1aee
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2500.log
@@ -0,0 +1,25 @@
+2025-02-10:12:01:43,150 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-10:12:01:54,461 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-10:12:01:54,462 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
+2025-02-10:12:01:54,465 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!
+2025-02-10:12:01:54,465 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/new_config_checkpoint-2500'}
+2025-02-10:12:01:54,503 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-10:12:01:55,153 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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+2025-02-10:12:02:36,163 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-10:12:02:36,164 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-10:12:02:36,164 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-10:12:02:47,397 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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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+2025-02-10:12:54:00,614 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/new_config_checkpoint-2500), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6437|±  |0.0132|
+|               |       |strict-match    |     8|exact_match|↑  |0.6293|±  |0.0133|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2600.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2600.log
new file mode 100644
index 0000000000000000000000000000000000000000..5a340ab49d6b06cdb55eec2f1f36932ae02be496
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2600.log
@@ -0,0 +1,25 @@
+2025-02-10:12:54:04,492 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-10:12:54:15,770 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-10:12:54:15,771 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
+2025-02-10:12:54:15,771 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!
+2025-02-10:12:54:15,771 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/new_config_checkpoint-2600'}
+2025-02-10:12:54:15,809 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-10:12:54:16,432 INFO     [huggingface.py:375] Model parallel was set to False, max memory was not set, and device map was set to {'': 'cuda:0'}
+
Loading checkpoint shards:   0%|          | 0/4 [00:00<?, ?it/s]
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+2025-02-10:12:54:57,665 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-10:12:54:57,666 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-10:12:54:57,666 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
+
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+2025-02-10:12:55:08,943 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-10:13:47:01,993 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/new_config_checkpoint-2600), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6315|±  |0.0133|
+|               |       |strict-match    |     8|exact_match|↑  |0.6202|±  |0.0134|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2700.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2700.log
new file mode 100644
index 0000000000000000000000000000000000000000..82935db8a06554c108881a77906810b476bd45f2
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2700.log
@@ -0,0 +1,25 @@
+2025-02-10:13:47:05,879 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-10:13:47:17,004 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-10:13:47:17,005 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
+2025-02-10:13:47:17,005 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!
+2025-02-10:13:47:17,005 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/new_config_checkpoint-2700'}
+2025-02-10:13:47:17,044 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-10:13:47:17,684 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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+2025-02-10:13:47:58,998 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-10:13:47:58,999 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-10:13:47:58,999 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-10:13:48:10,040 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-10:14:40:55,419 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/new_config_checkpoint-2700), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6164|±  |0.0134|
+|               |       |strict-match    |     8|exact_match|↑  |0.6020|±  |0.0135|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2800.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2800.log
new file mode 100644
index 0000000000000000000000000000000000000000..69a945629bbd950e0e807597c7eddf5fdc0713d1
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2800.log
@@ -0,0 +1,25 @@
+2025-02-10:14:40:59,305 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-10:14:41:10,437 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-10:14:41:10,438 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
+2025-02-10:14:41:10,438 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!
+2025-02-10:14:41:10,438 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/new_config_checkpoint-2800'}
+2025-02-10:14:41:10,477 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-10:14:41:11,100 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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+2025-02-10:14:41:54,202 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-10:14:41:54,203 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-10:14:41:54,203 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-10:14:42:05,345 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-10:15:35:06,213 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/new_config_checkpoint-2800), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6118|±  |0.0134|
+|               |       |strict-match    |     8|exact_match|↑  |0.5967|±  |0.0135|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2900.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2900.log
new file mode 100644
index 0000000000000000000000000000000000000000..f31987e816b4853ec81d8b71af58bafac27af0c3
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_2900.log
@@ -0,0 +1,18 @@
+2025-02-10:15:35:10,090 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-10:15:35:21,171 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-10:15:35:21,172 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
+2025-02-10:15:35:21,172 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!
+2025-02-10:15:35:21,172 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/new_config_checkpoint-2900'}
+2025-02-10:15:35:21,210 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-10:15:35:21,842 INFO     [huggingface.py:375] Model parallel was set to False, max memory was not set, and device map was set to {'': 'cuda:0'}
+
Loading checkpoint shards:   0%|          | 0/4 [00:00<?, ?it/s]
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+2025-02-10:15:36:04,112 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-10:15:36:04,113 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-10:15:36:04,113 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-10:15:36:15,292 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`.
+  warnings.warn(
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\ No newline at end of file
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_800.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_800.log
new file mode 100644
index 0000000000000000000000000000000000000000..6094460a37eb57cdddac7ccfef02beb51dfbc588
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_800.log
@@ -0,0 +1,25 @@
+2025-02-09:20:59:37,659 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:20:59:49,671 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:20:59:49,673 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
+2025-02-09:20:59:49,673 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!
+2025-02-09:20:59:49,673 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/new_config_checkpoint-800'}
+2025-02-09:20:59:49,724 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:20:59:50,613 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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+2025-02-09:21:00:04,384 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:21:00:04,384 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:21:00:04,385 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:21:00:16,941 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-09:21:50:25,772 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/new_config_checkpoint-800), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6748|±  |0.0129|
+|               |       |strict-match    |     8|exact_match|↑  |0.6611|±  |0.0130|
+
diff --git a/8b_only_dpo/solo_dpo_model_ckpt_ckpt_900.log b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_900.log
new file mode 100644
index 0000000000000000000000000000000000000000..8257a1b868b73c2e0df92190d80e4a4893ce6051
--- /dev/null
+++ b/8b_only_dpo/solo_dpo_model_ckpt_ckpt_900.log
@@ -0,0 +1,25 @@
+2025-02-09:21:50:29,648 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-09:21:50:40,894 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-09:21:50:40,895 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
+2025-02-09:21:50:40,895 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!
+2025-02-09:21:50:40,895 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/new_config_checkpoint-900'}
+2025-02-09:21:50:40,934 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-09:21:50:41,545 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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+2025-02-09:21:50:52,678 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-09:21:50:52,679 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-09:21:50:52,680 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-09:21:51:03,783 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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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+2025-02-09:22:41:41,945 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/new_config_checkpoint-900), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6535|±  |0.0131|
+|               |       |strict-match    |     8|exact_match|↑  |0.6429|±  |0.0132|
+
diff --git a/8b_shuffle/solo_dpo_model_base.log b/8b_shuffle/solo_dpo_model_base.log
new file mode 100644
index 0000000000000000000000000000000000000000..1195453a62f1e73e2b3d5ee72dcfb4010f36ab3a
--- /dev/null
+++ b/8b_shuffle/solo_dpo_model_base.log
@@ -0,0 +1,25 @@
+2025-02-06:10:04:25,579 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-06:10:04:37,567 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-06:10:04:37,568 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
+2025-02-06:10:04:37,568 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!
+2025-02-06:10:04:37,569 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct'}
+2025-02-06:10:04:37,615 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-06:10:04:38,416 INFO     [huggingface.py:375] Model parallel was set to False, max memory was not set, and device map was set to {'': 'cuda:0'}
+
Loading checkpoint shards:   0%|          | 0/4 [00:00<?, ?it/s]
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+2025-02-06:10:04:49,323 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-06:10:04:49,324 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-06:10:04:49,324 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
+
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+2025-02-06:10:05:01,456 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-06:10:46:25,129 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6793|±  |0.0129|
+|               |       |strict-match    |     8|exact_match|↑  |0.6717|±  |0.0129|
+
diff --git a/8b_shuffle/solo_dpo_model_ckpt_ckpt_100.log b/8b_shuffle/solo_dpo_model_ckpt_ckpt_100.log
new file mode 100644
index 0000000000000000000000000000000000000000..7f4a812403cf6ef76c2686ba493058d78cd629c6
--- /dev/null
+++ b/8b_shuffle/solo_dpo_model_ckpt_ckpt_100.log
@@ -0,0 +1,356 @@
+2025-02-06:13:54:14,985 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-06:13:54:26,232 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-06:13:54:26,233 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
+2025-02-06:13:54:26,233 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!
+2025-02-06:13:54:26,233 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/solo_dpo_checkpoint-400'}
+2025-02-06:13:54:26,273 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-06:13:54:26,866 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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+2025-02-06:13:55:07,646 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-06:13:55:07,646 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-06:13:55:07,647 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-06:13:55:18,511 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`.
+  warnings.warn(
+
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+2025-02-06:14:45:02,562 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/shuffle_checkpoint-100), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6937|±  |0.0127|
+|               |       |strict-match    |     8|exact_match|↑  |0.6755|±  |0.0129|
+
diff --git a/8b_shuffle/solo_dpo_model_ckpt_ckpt_1000.log b/8b_shuffle/solo_dpo_model_ckpt_ckpt_1000.log
new file mode 100644
index 0000000000000000000000000000000000000000..3a22e0b7e2038bfdd8afa09834ad9c1a3f16c7d5
--- /dev/null
+++ b/8b_shuffle/solo_dpo_model_ckpt_ckpt_1000.log
@@ -0,0 +1,25 @@
+2025-02-11:19:06:58,687 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-11:19:07:09,736 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-11:19:07:09,737 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
+2025-02-11:19:07:09,737 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!
+2025-02-11:19:07:09,737 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/shuffle_checkpoint-1000'}
+2025-02-11:19:07:09,777 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-11:19:07:11,109 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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+2025-02-11:19:07:23,538 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-11:19:07:23,539 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-11:19:07:23,539 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-11:19:07:34,428 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-11:19:56:48,495 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/shuffle_checkpoint-1000), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6854|±  |0.0128|
+|               |       |strict-match    |     8|exact_match|↑  |0.6702|±  |0.0129|
+
diff --git a/8b_shuffle/solo_dpo_model_ckpt_ckpt_1100.log b/8b_shuffle/solo_dpo_model_ckpt_ckpt_1100.log
new file mode 100644
index 0000000000000000000000000000000000000000..0ef5397dbe73ef3d3ab26f9d4da615c3d37034c8
--- /dev/null
+++ b/8b_shuffle/solo_dpo_model_ckpt_ckpt_1100.log
@@ -0,0 +1,25 @@
+2025-02-12:08:20:42,698 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-12:08:20:53,948 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-12:08:20:53,952 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
+2025-02-12:08:20:53,952 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!
+2025-02-12:08:20:53,952 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/shuffle_checkpoint-1100'}
+2025-02-12:08:20:53,990 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-12:08:20:54,663 INFO     [huggingface.py:375] Model parallel was set to False, max memory was not set, and device map was set to {'': 'cuda:0'}
+
Loading checkpoint shards:   0%|          | 0/4 [00:00<?, ?it/s]
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+2025-02-12:08:21:06,505 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-12:08:21:06,506 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-12:08:21:06,506 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-12:08:21:17,591 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`.
+  warnings.warn(
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+2025-02-12:09:10:11,717 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/shuffle_checkpoint-1100), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.7058|±  |0.0126|
+|               |       |strict-match    |     8|exact_match|↑  |0.6861|±  |0.0128|
+
diff --git a/8b_shuffle/solo_dpo_model_ckpt_ckpt_1200.log b/8b_shuffle/solo_dpo_model_ckpt_ckpt_1200.log
new file mode 100644
index 0000000000000000000000000000000000000000..3e8ace9a1a86bf0226672b407a66041770e31fe2
--- /dev/null
+++ b/8b_shuffle/solo_dpo_model_ckpt_ckpt_1200.log
@@ -0,0 +1,25 @@
+2025-02-12:09:10:15,670 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-12:09:10:26,736 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-12:09:10:26,737 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
+2025-02-12:09:10:26,737 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!
+2025-02-12:09:10:26,737 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/shuffle_checkpoint-1200'}
+2025-02-12:09:10:26,777 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-12:09:10:27,381 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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+2025-02-12:09:10:38,606 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-12:09:10:38,607 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-12:09:10:38,607 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-12:09:10:49,225 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-12:10:00:06,208 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/shuffle_checkpoint-1200), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6975|±  |0.0127|
+|               |       |strict-match    |     8|exact_match|↑  |0.6748|±  |0.0129|
+
diff --git a/8b_shuffle/solo_dpo_model_ckpt_ckpt_1300.log b/8b_shuffle/solo_dpo_model_ckpt_ckpt_1300.log
new file mode 100644
index 0000000000000000000000000000000000000000..81cd6b21ffad27c271dd15cbf5af071bfc2ea163
--- /dev/null
+++ b/8b_shuffle/solo_dpo_model_ckpt_ckpt_1300.log
@@ -0,0 +1,25 @@
+2025-02-12:10:00:10,091 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-12:10:00:21,298 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-12:10:00:21,299 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
+2025-02-12:10:00:21,299 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!
+2025-02-12:10:00:21,299 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/shuffle_checkpoint-1300'}
+2025-02-12:10:00:21,337 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-12:10:00:22,217 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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+2025-02-12:10:00:33,539 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-12:10:00:33,540 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-12:10:00:33,541 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-12:10:00:44,589 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-12:10:49:57,123 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/shuffle_checkpoint-1300), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6922|±  |0.0127|
+|               |       |strict-match    |     8|exact_match|↑  |0.6770|±  |0.0129|
+
diff --git a/8b_shuffle/solo_dpo_model_ckpt_ckpt_1400.log b/8b_shuffle/solo_dpo_model_ckpt_ckpt_1400.log
new file mode 100644
index 0000000000000000000000000000000000000000..35107eff8c5af79643081583e3831e4f2ff1f5cc
--- /dev/null
+++ b/8b_shuffle/solo_dpo_model_ckpt_ckpt_1400.log
@@ -0,0 +1,25 @@
+2025-02-12:10:50:01,063 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-12:10:50:12,347 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-12:10:50:12,348 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
+2025-02-12:10:50:12,348 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!
+2025-02-12:10:50:12,348 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/shuffle_checkpoint-1400'}
+2025-02-12:10:50:12,386 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-12:10:50:13,031 INFO     [huggingface.py:375] Model parallel was set to False, max memory was not set, and device map was set to {'': 'cuda:0'}
+
Loading checkpoint shards:   0%|          | 0/4 [00:00<?, ?it/s]
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+2025-02-12:10:50:24,015 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-12:10:50:24,016 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-12:10:50:24,017 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-12:10:50:35,297 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-12:11:41:07,411 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/shuffle_checkpoint-1400), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6626|±  |0.0130|
+|               |       |strict-match    |     8|exact_match|↑  |0.6513|±  |0.0131|
+
diff --git a/8b_shuffle/solo_dpo_model_ckpt_ckpt_1500.log b/8b_shuffle/solo_dpo_model_ckpt_ckpt_1500.log
new file mode 100644
index 0000000000000000000000000000000000000000..1bd6b925eaa19b0a35855291bdf30e564343924a
--- /dev/null
+++ b/8b_shuffle/solo_dpo_model_ckpt_ckpt_1500.log
@@ -0,0 +1,25 @@
+2025-02-12:11:41:11,382 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-12:11:41:22,843 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-12:11:41:22,844 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
+2025-02-12:11:41:22,844 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!
+2025-02-12:11:41:22,844 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/shuffle_checkpoint-1500'}
+2025-02-12:11:41:22,888 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-12:11:41:23,542 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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+2025-02-12:11:41:34,421 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-12:11:41:34,422 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-12:11:41:34,422 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-12:11:41:45,628 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-12:12:32:17,483 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/shuffle_checkpoint-1500), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6687|±  |0.0130|
+|               |       |strict-match    |     8|exact_match|↑  |0.6535|±  |0.0131|
+
diff --git a/8b_shuffle/solo_dpo_model_ckpt_ckpt_1600.log b/8b_shuffle/solo_dpo_model_ckpt_ckpt_1600.log
new file mode 100644
index 0000000000000000000000000000000000000000..ceb33c6844a850d917e94201687d866139c91b17
--- /dev/null
+++ b/8b_shuffle/solo_dpo_model_ckpt_ckpt_1600.log
@@ -0,0 +1,82 @@
+2025-02-12:12:32:21,418 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-12:12:32:32,696 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-12:12:32:32,697 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
+2025-02-12:12:32:32,697 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!
+2025-02-12:12:32:32,697 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/shuffle_checkpoint-1600'}
+2025-02-12:12:32:32,735 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-12:12:32:33,675 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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+2025-02-12:12:32:45,850 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-12:12:32:45,851 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-12:12:32:45,851 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-12:12:32:56,556 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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Running generate_until requests:  52%|█████▏    | 685/1319 [28:26<23:19,  2.21s/it]Traceback (most recent call last):
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/__main__.py", line 467, in <module>
+    cli_evaluate()
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/__main__.py", line 387, in cli_evaluate
+    results = evaluator.simple_evaluate(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/utils.py", line 402, in _wrapper
+    return fn(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/evaluator.py", line 304, in simple_evaluate
+    results = evaluate(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/utils.py", line 402, in _wrapper
+    return fn(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/evaluator.py", line 524, in evaluate
+    resps = getattr(lm, reqtype)(cloned_reqs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/models/huggingface.py", line 1354, in generate_until
+    cont = self._model_generate(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/models/huggingface.py", line 897, in _model_generate
+    return self.model.generate(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/peft/peft_model.py", line 1646, in generate
+    outputs = self.base_model.generate(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
+    return func(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/transformers/generation/utils.py", line 1996, in generate
+    result = self._sample(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/transformers/generation/utils.py", line 2923, in _sample
+    outputs = self(**model_inputs, return_dict=True)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 1182, in forward
+    outputs = self.model(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 994, in forward
+    layer_outputs = decoder_layer(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 727, in forward
+    hidden_states, self_attn_weights, present_key_value = self.self_attn(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 612, in forward
+    value_states = self.v_proj(hidden_states)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/peft/tuners/lora/layer.py", line 556, in forward
+    result = result + lora_B(lora_A(dropout(x))) * scaling
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 116, in forward
+    return F.linear(input, self.weight, self.bias)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1696, in __getattr__
+    def __getattr__(self, name: str) -> Any:
+KeyboardInterrupt
+
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diff --git a/8b_shuffle/solo_dpo_model_ckpt_ckpt_1700.log b/8b_shuffle/solo_dpo_model_ckpt_ckpt_1700.log
new file mode 100644
index 0000000000000000000000000000000000000000..85943239d6d05724512ab5dfe78e7e5d84995edd
--- /dev/null
+++ b/8b_shuffle/solo_dpo_model_ckpt_ckpt_1700.log
@@ -0,0 +1,56 @@
+2025-02-11:10:41:59,764 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-11:10:42:10,657 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-11:10:42:10,658 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
+2025-02-11:10:42:10,658 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!
+2025-02-11:10:42:10,658 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/shuffle_checkpoint-1700'}
+2025-02-11:10:42:10,696 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-11:10:42:11,280 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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+2025-02-11:10:42:51,243 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-11:10:42:51,243 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-11:10:42:51,244 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
+
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+2025-02-11:10:43:01,712 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`.
+  warnings.warn(
+Traceback (most recent call last):
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/__main__.py", line 467, in <module>
+    cli_evaluate()
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/__main__.py", line 387, in cli_evaluate
+    results = evaluator.simple_evaluate(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/utils.py", line 402, in _wrapper
+    return fn(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/evaluator.py", line 304, in simple_evaluate
+    results = evaluate(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/utils.py", line 402, in _wrapper
+    return fn(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/evaluator.py", line 524, in evaluate
+    resps = getattr(lm, reqtype)(cloned_reqs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/models/huggingface.py", line 1354, in generate_until
+    cont = self._model_generate(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/models/huggingface.py", line 897, in _model_generate
+    return self.model.generate(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/peft/peft_model.py", line 1646, in generate
+    outputs = self.base_model.generate(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
+    return func(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/transformers/generation/utils.py", line 1996, in generate
+    result = self._sample(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/transformers/generation/utils.py", line 2923, in _sample
+    outputs = self(**model_inputs, return_dict=True)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 1201, in forward
+    logits = self.lm_head(hidden_states)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 116, in forward
+    return F.linear(input, self.weight, self.bias)
+torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.71 GiB. GPU 
+
Running generate_until requests:   0%|          | 0/1319 [00:04<?, ?it/s]
diff --git a/8b_shuffle/solo_dpo_model_ckpt_ckpt_1800.log b/8b_shuffle/solo_dpo_model_ckpt_ckpt_1800.log
new file mode 100644
index 0000000000000000000000000000000000000000..f6f4b282057b067f09a8a60dd3ee2accf247558b
--- /dev/null
+++ b/8b_shuffle/solo_dpo_model_ckpt_ckpt_1800.log
@@ -0,0 +1,56 @@
+2025-02-11:10:43:09,372 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-11:10:43:20,382 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-11:10:43:20,383 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
+2025-02-11:10:43:20,383 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!
+2025-02-11:10:43:20,383 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/shuffle_checkpoint-1800'}
+2025-02-11:10:43:20,421 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-11:10:43:21,095 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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+2025-02-11:10:44:01,691 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-11:10:44:01,692 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-11:10:44:01,692 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
+
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+2025-02-11:10:44:12,608 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`.
+  warnings.warn(
+Traceback (most recent call last):
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/__main__.py", line 467, in <module>
+    cli_evaluate()
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/__main__.py", line 387, in cli_evaluate
+    results = evaluator.simple_evaluate(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/utils.py", line 402, in _wrapper
+    return fn(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/evaluator.py", line 304, in simple_evaluate
+    results = evaluate(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/utils.py", line 402, in _wrapper
+    return fn(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/evaluator.py", line 524, in evaluate
+    resps = getattr(lm, reqtype)(cloned_reqs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/models/huggingface.py", line 1354, in generate_until
+    cont = self._model_generate(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/models/huggingface.py", line 897, in _model_generate
+    return self.model.generate(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/peft/peft_model.py", line 1646, in generate
+    outputs = self.base_model.generate(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
+    return func(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/transformers/generation/utils.py", line 1996, in generate
+    result = self._sample(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/transformers/generation/utils.py", line 2923, in _sample
+    outputs = self(**model_inputs, return_dict=True)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 1201, in forward
+    logits = self.lm_head(hidden_states)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 116, in forward
+    return F.linear(input, self.weight, self.bias)
+torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.71 GiB. GPU 
+
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diff --git a/8b_shuffle/solo_dpo_model_ckpt_ckpt_1900.log b/8b_shuffle/solo_dpo_model_ckpt_ckpt_1900.log
new file mode 100644
index 0000000000000000000000000000000000000000..66a2e369a9b75af54248eb098735dc77c02affe3
--- /dev/null
+++ b/8b_shuffle/solo_dpo_model_ckpt_ckpt_1900.log
@@ -0,0 +1,70 @@
+2025-02-11:10:44:20,440 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-11:10:44:31,459 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-11:10:44:31,460 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
+2025-02-11:10:44:31,460 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!
+2025-02-11:10:44:31,460 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/shuffle_checkpoint-1900'}
+2025-02-11:10:44:31,498 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-11:10:44:32,109 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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+Traceback (most recent call last):
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py", line 304, in hf_raise_for_status
+    response.raise_for_status()
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/requests/models.py", line 1024, in raise_for_status
+    raise HTTPError(http_error_msg, response=self)
+requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/JaqueMate/shuffle_checkpoint-1900/resolve/main/adapter_config.json
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/peft/config.py", line 205, in _get_peft_type
+    config_file = hf_hub_download(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py", line 101, in inner_f
+    return f(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
+    return fn(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1240, in hf_hub_download
+    return _hf_hub_download_to_cache_dir(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1347, in _hf_hub_download_to_cache_dir
+    _raise_on_head_call_error(head_call_error, force_download, local_files_only)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1854, in _raise_on_head_call_error
+    raise head_call_error
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1751, in _get_metadata_or_catch_error
+    metadata = get_hf_file_metadata(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
+    return fn(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1673, in get_hf_file_metadata
+    r = _request_wrapper(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 376, in _request_wrapper
+    response = _request_wrapper(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 400, in _request_wrapper
+    hf_raise_for_status(response)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py", line 352, in hf_raise_for_status
+    raise RepositoryNotFoundError(message, response) from e
+huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-67ab5444-0cd003554e83f753463ff238;cbfa3e63-c660-4763-a8cf-089a61fe2eb8)
+
+Repository Not Found for url: https://huggingface.co/JaqueMate/shuffle_checkpoint-1900/resolve/main/adapter_config.json.
+Please make sure you specified the correct `repo_id` and `repo_type`.
+If you are trying to access a private or gated repo, make sure you are authenticated.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/__main__.py", line 467, in <module>
+    cli_evaluate()
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/__main__.py", line 387, in cli_evaluate
+    results = evaluator.simple_evaluate(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/utils.py", line 402, in _wrapper
+    return fn(*args, **kwargs)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/evaluator.py", line 205, in simple_evaluate
+    lm = lm_eval.api.registry.get_model(model).create_from_arg_string(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/api/model.py", line 151, in create_from_arg_string
+    return cls(**args, **args2)
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/models/huggingface.py", line 190, in __init__
+    self._create_model(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/lm-evaluation-harness/lm_eval/models/huggingface.py", line 647, in _create_model
+    self._model = PeftModel.from_pretrained(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/peft/peft_model.py", line 462, in from_pretrained
+    PeftConfig._get_peft_type(
+  File "/home/luciano/Documents/Tesis Ezequiel/Tesis/env/lib/python3.10/site-packages/peft/config.py", line 211, in _get_peft_type
+    raise ValueError(f"Can't find '{CONFIG_NAME}' at '{model_id}'")
+ValueError: Can't find 'adapter_config.json' at 'JaqueMate/shuffle_checkpoint-1900'
diff --git a/8b_shuffle/solo_dpo_model_ckpt_ckpt_200.log b/8b_shuffle/solo_dpo_model_ckpt_ckpt_200.log
new file mode 100644
index 0000000000000000000000000000000000000000..cdec377478eca0d41e0d83064813c9dd798c487f
--- /dev/null
+++ b/8b_shuffle/solo_dpo_model_ckpt_ckpt_200.log
@@ -0,0 +1,25 @@
+2025-02-11:12:24:00,850 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-11:12:24:12,047 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-11:12:24:12,048 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
+2025-02-11:12:24:12,048 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!
+2025-02-11:12:24:12,048 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/shuffle_checkpoint-200'}
+2025-02-11:12:24:12,086 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-11:12:24:12,707 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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+2025-02-11:12:24:23,876 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-11:12:24:23,877 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-11:12:24:23,877 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
+
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+2025-02-11:12:24:35,192 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
+
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+2025-02-11:13:13:45,132 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/shuffle_checkpoint-200), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6914|±  |0.0127|
+|               |       |strict-match    |     8|exact_match|↑  |0.6748|±  |0.0129|
+
diff --git a/8b_shuffle/solo_dpo_model_ckpt_ckpt_300.log b/8b_shuffle/solo_dpo_model_ckpt_ckpt_300.log
new file mode 100644
index 0000000000000000000000000000000000000000..66b62728ba9de53f2df03774331857e68b8e97ce
--- /dev/null
+++ b/8b_shuffle/solo_dpo_model_ckpt_ckpt_300.log
@@ -0,0 +1,25 @@
+2025-02-11:13:13:48,976 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-11:13:14:00,115 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-11:13:14:00,116 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
+2025-02-11:13:14:00,116 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!
+2025-02-11:13:14:00,116 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/shuffle_checkpoint-300'}
+2025-02-11:13:14:00,154 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-11:13:14:00,762 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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+2025-02-11:13:14:11,418 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-11:13:14:11,419 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-11:13:14:11,419 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-11:13:14:22,457 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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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+2025-02-11:14:04:48,953 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/shuffle_checkpoint-300), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6649|±  |0.0130|
+|               |       |strict-match    |     8|exact_match|↑  |0.6513|±  |0.0131|
+
diff --git a/8b_shuffle/solo_dpo_model_ckpt_ckpt_400.log b/8b_shuffle/solo_dpo_model_ckpt_ckpt_400.log
new file mode 100644
index 0000000000000000000000000000000000000000..0e8733da33f14ddd5e5c6e22d869133ce978cf1d
--- /dev/null
+++ b/8b_shuffle/solo_dpo_model_ckpt_ckpt_400.log
@@ -0,0 +1,25 @@
+2025-02-11:14:04:52,802 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-11:14:05:03,877 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-11:14:05:03,878 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
+2025-02-11:14:05:03,878 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!
+2025-02-11:14:05:03,878 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/shuffle_checkpoint-400'}
+2025-02-11:14:05:03,917 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-11:14:05:04,794 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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+2025-02-11:14:05:15,562 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-11:14:05:15,563 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-11:14:05:15,563 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-11:14:05:26,377 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-11:14:55:23,910 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/shuffle_checkpoint-400), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6778|±  |0.0129|
+|               |       |strict-match    |     8|exact_match|↑  |0.6573|±  |0.0131|
+
diff --git a/8b_shuffle/solo_dpo_model_ckpt_ckpt_500.log b/8b_shuffle/solo_dpo_model_ckpt_ckpt_500.log
new file mode 100644
index 0000000000000000000000000000000000000000..d0466f7401db603ae7c334fef04d43006b528a87
--- /dev/null
+++ b/8b_shuffle/solo_dpo_model_ckpt_ckpt_500.log
@@ -0,0 +1,25 @@
+2025-02-11:14:55:27,799 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-11:14:55:39,048 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-11:14:55:39,049 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
+2025-02-11:14:55:39,049 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!
+2025-02-11:14:55:39,049 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/shuffle_checkpoint-500'}
+2025-02-11:14:55:39,087 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-11:14:55:40,180 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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+2025-02-11:14:55:53,154 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-11:14:55:53,155 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-11:14:55:53,155 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-11:14:56:03,906 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-11:15:46:37,038 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/shuffle_checkpoint-500), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6603|±  |0.0130|
+|               |       |strict-match    |     8|exact_match|↑  |0.6475|±  |0.0132|
+
diff --git a/8b_shuffle/solo_dpo_model_ckpt_ckpt_600.log b/8b_shuffle/solo_dpo_model_ckpt_ckpt_600.log
new file mode 100644
index 0000000000000000000000000000000000000000..026159a6c3745cd74c7ae87720d16798f8f5a714
--- /dev/null
+++ b/8b_shuffle/solo_dpo_model_ckpt_ckpt_600.log
@@ -0,0 +1,25 @@
+2025-02-11:15:46:40,918 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-11:15:46:51,957 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-11:15:46:51,958 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
+2025-02-11:15:46:51,958 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!
+2025-02-11:15:46:51,958 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/shuffle_checkpoint-600'}
+2025-02-11:15:46:51,998 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-11:15:46:52,601 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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+2025-02-11:15:47:03,781 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-11:15:47:03,782 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-11:15:47:03,782 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-11:15:47:14,855 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-11:16:37:22,023 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/shuffle_checkpoint-600), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6740|±  |0.0129|
+|               |       |strict-match    |     8|exact_match|↑  |0.6573|±  |0.0131|
+
diff --git a/8b_shuffle/solo_dpo_model_ckpt_ckpt_700.log b/8b_shuffle/solo_dpo_model_ckpt_ckpt_700.log
new file mode 100644
index 0000000000000000000000000000000000000000..2c5a68bf5c435f4b8d6806a9137e2986d789db67
--- /dev/null
+++ b/8b_shuffle/solo_dpo_model_ckpt_ckpt_700.log
@@ -0,0 +1,25 @@
+2025-02-11:16:37:25,910 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-11:16:37:37,131 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-11:16:37:37,132 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
+2025-02-11:16:37:37,132 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!
+2025-02-11:16:37:37,132 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/shuffle_checkpoint-700'}
+2025-02-11:16:37:37,172 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-11:16:37:37,761 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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+2025-02-11:16:37:56,260 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-11:16:37:56,261 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-11:16:37:56,261 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-11:16:38:07,281 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-11:17:27:14,606 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/shuffle_checkpoint-700), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value|   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.696|±  |0.0127|
+|               |       |strict-match    |     8|exact_match|↑  |0.677|±  |0.0129|
+
diff --git a/8b_shuffle/solo_dpo_model_ckpt_ckpt_800.log b/8b_shuffle/solo_dpo_model_ckpt_ckpt_800.log
new file mode 100644
index 0000000000000000000000000000000000000000..762468a536b6fffa20999e706a06775290c4a100
--- /dev/null
+++ b/8b_shuffle/solo_dpo_model_ckpt_ckpt_800.log
@@ -0,0 +1,25 @@
+2025-02-11:17:27:18,454 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-11:17:27:29,636 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-11:17:27:29,637 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
+2025-02-11:17:27:29,637 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!
+2025-02-11:17:27:29,637 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/shuffle_checkpoint-800'}
+2025-02-11:17:27:29,677 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-11:17:27:30,272 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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+2025-02-11:17:27:44,345 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-11:17:27:44,346 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-11:17:27:44,346 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-11:17:27:55,353 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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`.
+  warnings.warn(
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+2025-02-11:18:17:14,350 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/shuffle_checkpoint-800), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6952|±  |0.0127|
+|               |       |strict-match    |     8|exact_match|↑  |0.6808|±  |0.0128|
+
diff --git a/8b_shuffle/solo_dpo_model_ckpt_ckpt_900.log b/8b_shuffle/solo_dpo_model_ckpt_ckpt_900.log
new file mode 100644
index 0000000000000000000000000000000000000000..c8ffbeb9f1279223d4acf80faf42a6c70b8fc3dc
--- /dev/null
+++ b/8b_shuffle/solo_dpo_model_ckpt_ckpt_900.log
@@ -0,0 +1,25 @@
+2025-02-11:18:17:18,213 INFO     [__main__.py:284] Verbosity set to INFO
+2025-02-11:18:17:29,655 INFO     [__main__.py:381] Selected Tasks: ['gsm8k_cot_llama']
+2025-02-11:18:17:29,657 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
+2025-02-11:18:17:29,657 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!
+2025-02-11:18:17:29,657 INFO     [evaluator.py:202] Initializing hf model, with arguments: {'pretrained': 'meta-llama/Meta-Llama-3-8B-Instruct', 'peft': 'JaqueMate/shuffle_checkpoint-900'}
+2025-02-11:18:17:29,695 INFO     [huggingface.py:135] Using device 'cuda:0'
+2025-02-11:18:17:30,414 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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+2025-02-11:18:17:42,480 WARNING  [evaluator.py:271] Overwriting default num_fewshot of gsm8k_cot_llama from 8 to 8
+2025-02-11:18:17:42,481 WARNING  [evaluator.py:417] Chat template formatting change affects loglikelihood and multiple-choice tasks. See docs/chat-template-readme.md for details.
+2025-02-11:18:17:42,481 INFO     [task.py:420] Building contexts for gsm8k_cot_llama on rank 0...
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+2025-02-11:18:17:53,192 INFO     [evaluator.py:513] Running generate_until requests
+
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+  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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+2025-02-11:19:06:54,798 INFO     [evaluation_tracker.py:269] Output path not provided, skipping saving results aggregated
+hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct,peft=JaqueMate/shuffle_checkpoint-900), gen_kwargs: (do_sample=False,temperature=0.01,top_k=0,top_p=1), limit: None, num_fewshot: 8, batch_size: 6
+|     Tasks     |Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
+|---------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
+|gsm8k_cot_llama|      3|flexible-extract|     8|exact_match|↑  |0.6854|±  |0.0128|
+|               |       |strict-match    |     8|exact_match|↑  |0.6664|±  |0.0130|
+