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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: 0.8564
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  - Accuracy: 0.9607
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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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- | 0.3563 | 1.0 | 77 | 0.5637 | 0.9607 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.0312 | 2.0 | 154 | 0.8346 | 0.9607 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.6731 | 3.0 | 231 | 0.8564 | 0.9607 | 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: 1.0131
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  - Accuracy: 0.9607
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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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+ | 0.4663 | 1.0 | 77 | 0.5479 | 0.9607 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.0127 | 2.0 | 154 | 0.8689 | 0.9607 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.6123 | 3.0 | 231 | 0.6678 | 0.9607 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.0275 | 4.0 | 308 | 0.9083 | 0.9607 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.0311 | 5.0 | 385 | 0.9164 | 0.9607 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.0232 | 6.0 | 462 | 1.0131 | 0.9607 | 0.0 | 0.0 | 0.0 | 0.5 |
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  ### Framework versions
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