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cot_method2test-mistral-7B_v0

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  1. README.md +11 -11
  2. adapter_model.safetensors +1 -1
  3. runs/Jan14_02-41-45_28a32fdc2ba1/events.out.tfevents.1705200106.28a32fdc2ba1.6015.0 +2 -2
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4347
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  ## Model description
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@@ -50,16 +50,16 @@ 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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- | 1.9657 | 0.8 | 3 | 1.5706 |
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- | 1.9718 | 1.6 | 6 | 1.5519 |
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- | 1.8758 | 2.4 | 9 | 1.5252 |
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- | 1.7493 | 3.2 | 12 | 1.5017 |
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- | 1.6845 | 4.0 | 15 | 1.4812 |
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- | 1.667 | 4.8 | 18 | 1.4652 |
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- | 1.5356 | 5.6 | 21 | 1.4526 |
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- | 1.4322 | 6.4 | 24 | 1.4443 |
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- | 1.5797 | 7.2 | 27 | 1.4385 |
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- | 1.4526 | 8.0 | 30 | 1.4347 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4321
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.9547 | 0.8 | 3 | 1.5492 |
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+ | 1.9453 | 1.6 | 6 | 1.5327 |
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+ | 1.8726 | 2.4 | 9 | 1.5110 |
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+ | 1.741 | 3.2 | 12 | 1.4910 |
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+ | 1.6775 | 4.0 | 15 | 1.4716 |
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+ | 1.6711 | 4.8 | 18 | 1.4552 |
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+ | 1.5349 | 5.6 | 21 | 1.4439 |
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+ | 1.4408 | 6.4 | 24 | 1.4385 |
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+ | 1.5928 | 7.2 | 27 | 1.4325 |
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+ | 1.4587 | 8.0 | 30 | 1.4321 |
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  ### Framework versions
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