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End of training

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  1. README.md +12 -12
  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0713
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- - Accuracy: 0.8
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.5863 | 1.0 | 53 | 0.4392 | 0.8 |
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- | 0.4309 | 2.0 | 106 | 0.2701 | 0.8667 |
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- | 0.2365 | 3.0 | 159 | 0.3916 | 0.8667 |
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- | 0.0959 | 4.0 | 212 | 0.4507 | 0.8889 |
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- | 0.0755 | 5.0 | 265 | 0.6764 | 0.8667 |
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- | 0.0756 | 6.0 | 318 | 1.0713 | 0.8 |
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  ### Framework versions
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- - Transformers 4.33.2
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- - Pytorch 2.0.1+cu117
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- - Datasets 2.14.5
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- - Tokenizers 0.13.3
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5632
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+ - Accuracy: 0.9038
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.2987 | 1.0 | 121 | 1.1291 | 0.6058 |
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+ | 0.6602 | 2.0 | 242 | 0.8249 | 0.75 |
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+ | 0.4545 | 3.0 | 363 | 0.4199 | 0.8942 |
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+ | 0.2338 | 4.0 | 484 | 0.5669 | 0.9038 |
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+ | 0.083 | 5.0 | 605 | 0.5672 | 0.9038 |
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+ | 0.0057 | 6.0 | 726 | 0.5632 | 0.9038 |
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  ### Framework versions
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+ - Transformers 4.36.2
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+ - Pytorch 2.0.0
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+ - Datasets 2.16.0
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+ - Tokenizers 0.15.0
model.safetensors CHANGED
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