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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: 4.5666
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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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- | 5.3566 | 0.1067 | 5000 | 5.2826 |
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- | 5.0696 | 0.2133 | 10000 | 4.9845 |
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- | 4.9442 | 0.32 | 15000 | 4.8633 |
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- | 4.8809 | 0.4267 | 20000 | 4.8081 |
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- | 4.8446 | 0.5333 | 25000 | 4.7645 |
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- | 4.8083 | 0.64 | 30000 | 4.7309 |
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- | 4.7908 | 0.7467 | 35000 | 4.7131 |
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- | 4.6953 | 0.8533 | 40000 | 4.6232 |
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- | 4.6467 | 0.96 | 45000 | 4.5666 |
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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: 4.6415
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:-----:|:---------------:|
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+ | 5.3621 | 0.1067 | 5000 | 5.2780 |
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+ | 5.0519 | 0.2133 | 10000 | 4.9718 |
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+ | 4.9329 | 0.32 | 15000 | 4.8592 |
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+ | 4.8972 | 0.4267 | 20000 | 4.8090 |
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+ | 4.8781 | 0.5333 | 25000 | 4.7918 |
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+ | 4.8643 | 0.64 | 30000 | 4.7817 |
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+ | 4.8639 | 0.7467 | 35000 | 4.7703 |
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+ | 4.7685 | 0.8533 | 40000 | 4.6963 |
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+ | 4.7206 | 0.96 | 45000 | 4.6415 |
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  ### Framework versions
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