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_3_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_3_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: 0.5215
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## Model description
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all_results.json
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{
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"epoch": 0.9777777777777777,
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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": 4.
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"eval_steps_per_second": 1.
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"total_flos": 2250831298560.0,
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"train_loss": 0.6727288040247831,
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"train_runtime": 125.1337,
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{
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"epoch": 0.9777777777777777,
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"eval_loss": 0.5214745998382568,
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"eval_runtime": 0.7196,
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"eval_samples": 20,
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"eval_samples_per_second": 4.169,
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"eval_steps_per_second": 1.39,
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"total_flos": 2250831298560.0,
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"train_loss": 0.6727288040247831,
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"train_runtime": 125.1337,
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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": 0.9777777777777777,
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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": 4.
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"eval_steps_per_second": 1.
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}
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{
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"epoch": 0.9777777777777777,
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"eval_loss": 0.5214745998382568,
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"eval_runtime": 0.7196,
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"eval_samples": 20,
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"eval_samples_per_second": 4.169,
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"eval_steps_per_second": 1.39
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}
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runs/Jan20_10-15-51_dgx-a100-16/events.out.tfevents.1737365546.dgx-a100-16.2895241.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:1565b2984e78d406f55311e82879aff620249efd33ac4546d765cfc0ba64a3a0
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size 354
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