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Model save

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  1. README.md +10 -10
  2. model.safetensors +2 -2
  3. training_args.bin +1 -1
README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.5771
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  ## Model description
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@@ -46,15 +46,15 @@ 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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- | 5.3942 | 0.1067 | 5000 | 5.3042 |
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- | 5.0547 | 0.2133 | 10000 | 4.9685 |
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- | 4.9246 | 0.32 | 15000 | 4.8436 |
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- | 4.8625 | 0.4267 | 20000 | 4.7739 |
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- | 4.8188 | 0.5333 | 25000 | 4.7285 |
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- | 4.7825 | 0.64 | 30000 | 4.6943 |
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- | 4.761 | 0.7467 | 35000 | 4.6651 |
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- | 4.6924 | 0.8533 | 40000 | 4.6167 |
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- | 4.6595 | 0.96 | 45000 | 4.5771 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 4.5861
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:-----:|:---------------:|
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+ | 5.4168 | 0.1067 | 5000 | 5.3265 |
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+ | 5.0714 | 0.2133 | 10000 | 4.9847 |
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+ | 4.9362 | 0.32 | 15000 | 4.8556 |
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+ | 4.8725 | 0.4267 | 20000 | 4.7838 |
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+ | 4.8284 | 0.5333 | 25000 | 4.7355 |
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+ | 4.7933 | 0.64 | 30000 | 4.7016 |
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+ | 4.7692 | 0.7467 | 35000 | 4.6735 |
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+ | 4.7015 | 0.8533 | 40000 | 4.6264 |
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+ | 4.6686 | 0.96 | 45000 | 4.5861 |
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  ### Framework versions
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