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End of training

Browse files
README.md CHANGED
@@ -6,18 +6,18 @@ tags:
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  - sft
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  - generated_from_trainer
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  model-index:
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- - name: UTI_M2_200steps_1e7rate_SFT
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # UTI_M2_200steps_1e7rate_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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2252
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  ## Model description
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@@ -51,14 +51,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 2.4021 | 0.3333 | 25 | 2.3941 |
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- | 2.3235 | 0.6667 | 50 | 2.2471 |
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- | 2.0863 | 1.0 | 75 | 1.9386 |
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- | 1.6662 | 1.3333 | 100 | 1.5791 |
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- | 1.2981 | 1.6667 | 125 | 1.2598 |
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- | 1.229 | 2.0 | 150 | 1.2305 |
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- | 1.2334 | 2.3333 | 175 | 1.2258 |
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- | 1.2406 | 2.6667 | 200 | 1.2252 |
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  ### Framework versions
 
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  - sft
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  - generated_from_trainer
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  model-index:
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+ - name: UTI2_M2_200steps_1e7rate_SFT
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # UTI2_M2_200steps_1e7rate_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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0381
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 2.6274 | 0.3333 | 25 | 2.6112 |
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+ | 2.4866 | 0.6667 | 50 | 2.4091 |
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+ | 2.1962 | 1.0 | 75 | 1.9992 |
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+ | 1.5437 | 1.3333 | 100 | 1.3079 |
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+ | 1.0688 | 1.6667 | 125 | 1.0635 |
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+ | 0.9875 | 2.0 | 150 | 1.0426 |
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+ | 1.0431 | 2.3333 | 175 | 1.0379 |
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+ | 1.0727 | 2.6667 | 200 | 1.0381 |
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  ### Framework versions
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