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End of training

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  1. README.md +7 -4
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/rembert](https://huggingface.co/google/rembert) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6659
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  - Accuracy: 0.9498
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  - 1-f1: 0.0
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  - 1-recall: 0.0
@@ -56,9 +56,12 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
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- | 0.3594 | 1.0 | 130 | 0.6072 | 0.9498 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.0776 | 2.0 | 260 | 0.6739 | 0.9498 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 1.0799 | 3.0 | 390 | 0.6659 | 0.9498 | 0.0 | 0.0 | 0.0 | 0.5 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/rembert](https://huggingface.co/google/rembert) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7803
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  - Accuracy: 0.9498
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  - 1-f1: 0.0
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  - 1-recall: 0.0
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
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+ | 0.2624 | 1.0 | 130 | 0.5929 | 0.9498 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.0352 | 2.0 | 260 | 0.7379 | 0.9498 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.949 | 3.0 | 390 | 0.6221 | 0.9498 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.7944 | 4.0 | 520 | 0.9258 | 0.9498 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 2.0226 | 5.0 | 650 | 0.7104 | 0.9498 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.0582 | 6.0 | 780 | 0.7803 | 0.9498 | 0.0 | 0.0 | 0.0 | 0.5 |
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  ### Framework versions
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