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roberta_nli_ensemble

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Safetensors
roberta_nli_classifier
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End of training

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  1. README.md +10 -11
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,8 +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: 0.6246
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- - Accuracy: 0.8803
 
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.2293 | 1.0 | 191 | 0.4631 | 0.8640 |
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- | 0.102 | 2.0 | 382 | 0.5060 | 0.8762 |
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- | 0.0861 | 3.0 | 573 | 0.4089 | 0.875 |
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- | 0.0835 | 4.0 | 764 | 0.4706 | 0.8774 |
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- | 0.0593 | 5.0 | 955 | 0.5330 | 0.8811 |
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- | 0.041 | 6.0 | 1146 | 0.5649 | 0.8803 |
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- | 0.0366 | 7.0 | 1337 | 0.6246 | 0.8803 |
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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: 0.4582
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+ - Accuracy: 0.8808
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+ - Mcc: 0.7624
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  ## Model description
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  ### Training results
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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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