End of training
Browse files- README.md +4 -1
- all_results.json +12 -0
- eval_results.json +7 -0
- train_results.json +8 -0
- trainer_state.json +142 -0
- training_loss.png +0 -0
README.md
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@@ -3,6 +3,7 @@ license: apache-2.0
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library_name: peft
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tags:
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- llama-factory
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- generated_from_trainer
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base_model: mistralai/Mistral-7B-Instruct-v0.2
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model-index:
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# Mistral-7B-Instruct-v0.2-ORPO-SFT
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-
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on
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## Model description
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library_name: peft
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tags:
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- llama-factory
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- lora
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- generated_from_trainer
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base_model: mistralai/Mistral-7B-Instruct-v0.2
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model-index:
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# Mistral-7B-Instruct-v0.2-ORPO-SFT
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the bct_non_cot_sft_1000 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0648
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## Model description
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all_results.json
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{
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"epoch": 2.986666666666667,
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"eval_loss": 0.06476102769374847,
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"eval_runtime": 3.2886,
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"eval_samples_per_second": 30.408,
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"eval_steps_per_second": 15.204,
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"total_flos": 1.6019812625547264e+16,
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"train_loss": 0.12199947628236953,
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"train_runtime": 363.0569,
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"train_samples_per_second": 7.437,
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"train_steps_per_second": 0.463
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}
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eval_results.json
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{
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"epoch": 2.986666666666667,
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"eval_loss": 0.06476102769374847,
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"eval_runtime": 3.2886,
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"eval_samples_per_second": 30.408,
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"eval_steps_per_second": 15.204
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}
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train_results.json
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"total_flos": 1.6019812625547264e+16,
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"train_loss": 0.12199947628236953,
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"train_runtime": 363.0569,
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"train_samples_per_second": 7.437,
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"train_steps_per_second": 0.463
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}
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trainer_state.json
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training_loss.png
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