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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 8.3039
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- - Accuracy: 0.0583
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  ## Model description
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@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.7185 | 1.0 | 305 | 7.0206 | 0.0230 |
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- | 0.5091 | 2.0 | 610 | 7.2193 | 0.0209 |
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- | 0.383 | 3.0 | 915 | 7.3918 | 0.0468 |
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- | 0.2866 | 4.0 | 1220 | 7.6905 | 0.0547 |
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- | 0.2182 | 5.0 | 1525 | 7.8207 | 0.0489 |
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- | 0.1668 | 6.0 | 1830 | 7.9389 | 0.0496 |
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- | 0.1282 | 7.0 | 2135 | 8.0460 | 0.0590 |
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- | 0.0974 | 8.0 | 2440 | 8.1387 | 0.0554 |
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- | 0.0777 | 9.0 | 2745 | 8.2555 | 0.0568 |
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- | 0.0631 | 10.0 | 3050 | 8.3039 | 0.0583 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 8.5882
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+ - Accuracy: 0.0597
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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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+ | 0.3974 | 1.0 | 305 | 7.3832 | 0.0353 |
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+ | 0.3071 | 2.0 | 610 | 7.5483 | 0.0410 |
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+ | 0.2818 | 3.0 | 915 | 7.6781 | 0.0496 |
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+ | 0.2237 | 4.0 | 1220 | 7.8697 | 0.0554 |
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+ | 0.1664 | 5.0 | 1525 | 8.0893 | 0.0518 |
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+ | 0.1302 | 6.0 | 1830 | 8.1503 | 0.0532 |
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+ | 0.0928 | 7.0 | 2135 | 8.2650 | 0.0612 |
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+ | 0.0738 | 8.0 | 2440 | 8.4590 | 0.0597 |
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+ | 0.0555 | 9.0 | 2745 | 8.5490 | 0.0604 |
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+ | 0.0437 | 10.0 | 3050 | 8.5882 | 0.0597 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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