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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- alignment-handbook
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# mistral_llama_2_code_math_1_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 generator 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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- alignment-handbook
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# mistral_llama_2_code_math_1_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 generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7667
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## Model description
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all_results.json
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{
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"epoch": 0.9090909090909091,
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"eval_loss": 0.
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"eval_runtime": 0.
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"eval_samples": 20,
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"eval_samples_per_second": 5.
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"eval_steps_per_second": 1.
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"total_flos": 471104225280.0,
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"train_loss": 1.0510477542877197,
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"train_runtime": 30.0598,
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{
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"epoch": 0.9090909090909091,
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"eval_loss": 0.7666938900947571,
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"eval_runtime": 0.7181,
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"eval_samples": 20,
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"eval_samples_per_second": 5.57,
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"eval_steps_per_second": 1.392,
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"total_flos": 471104225280.0,
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"train_loss": 1.0510477542877197,
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"train_runtime": 30.0598,
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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": 0.9090909090909091,
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-
"eval_loss": 0.
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"eval_runtime": 0.
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"eval_samples": 20,
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"eval_samples_per_second": 5.
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"eval_steps_per_second": 1.
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}
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{
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"epoch": 0.9090909090909091,
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"eval_loss": 0.7666938900947571,
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"eval_runtime": 0.7181,
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"eval_samples": 20,
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"eval_samples_per_second": 5.57,
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"eval_steps_per_second": 1.392
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}
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runs/Jan20_09-59-02_dgx-a100-16/events.out.tfevents.1737363953.dgx-a100-16.2881694.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:846eb0a897d0ee1750ec7e19253e2b4fb973f23e27bbf98ed77ffa8503641e38
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size 354
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