End of training
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README.md
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license: apache-2.0
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base_model: mistralai/Mistral-7B-Instruct-v0.1
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tags:
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- trl
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- sft
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- generated_from_trainer
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@@ -17,6 +21,8 @@ should probably proofread and complete it, then remove this comment. -->
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# mistral_o1_01_full
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the None dataset.
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## Model description
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license: apache-2.0
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base_model: mistralai/Mistral-7B-Instruct-v0.1
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tags:
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- alignment-handbook
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- trl
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- sft
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- generated_from_trainer
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- trl
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- sft
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- generated_from_trainer
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# mistral_o1_01_full
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7466
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## Model description
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all_results.json
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{
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"epoch": 1.0,
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"total_flos": 2425271615488.0,
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"train_loss": 0.7457813223203024,
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"train_runtime": 139.545,
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{
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"epoch": 1.0,
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"eval_loss": 0.7465721964836121,
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"eval_runtime": 1.4622,
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"eval_samples": 20,
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"eval_samples_per_second": 13.678,
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"eval_steps_per_second": 1.368,
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"total_flos": 2425271615488.0,
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"train_loss": 0.7457813223203024,
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"train_runtime": 139.545,
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config.json
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.44.2",
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-
"use_cache":
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"vocab_size": 32000
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}
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.44.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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eval_results.json
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{
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"epoch": 1.0,
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"eval_loss": 0.7465721964836121,
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"eval_runtime": 1.4622,
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"eval_samples": 20,
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"eval_samples_per_second": 13.678,
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"eval_steps_per_second": 1.368
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}
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runs/Jan07_20-21-14_dgx-a100-12/events.out.tfevents.1736278216.dgx-a100-12.2321921.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:21ad37565deed64a075de0b4bad462b22eaf79a407fbd67ce8b08652513985dc
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size 354
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