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End of training

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  1. README.md +8 -8
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,9 +16,9 @@ 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: 0.4582
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- - Accuracy: 0.8808
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- - Mcc: 0.7624
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  ## Model description
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@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Mcc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.6826 | 1.0 | 191 | 0.3519 | 0.8587 | 0.7192 |
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- | 0.3116 | 2.0 | 382 | 0.3057 | 0.8811 | 0.7628 |
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- | 0.2063 | 3.0 | 573 | 0.3278 | 0.8844 | 0.7688 |
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- | 0.1347 | 4.0 | 764 | 0.3877 | 0.8818 | 0.7635 |
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- | 0.0889 | 5.0 | 955 | 0.4582 | 0.8808 | 0.7624 |
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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: 0.4849
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+ - Accuracy: 0.8848
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+ - Mcc: 0.7695
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Mcc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.6552 | 1.0 | 191 | 0.3383 | 0.8685 | 0.7377 |
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+ | 0.2894 | 2.0 | 382 | 0.3045 | 0.8778 | 0.7559 |
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+ | 0.1891 | 3.0 | 573 | 0.3255 | 0.8854 | 0.7705 |
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+ | 0.1209 | 4.0 | 764 | 0.3963 | 0.8829 | 0.7657 |
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+ | 0.0843 | 5.0 | 955 | 0.4849 | 0.8848 | 0.7695 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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