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End of training

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  1. README.md +19 -12
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,12 +18,12 @@ 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: 0.6568
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- - Accuracy: 0.9531
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- - 1-f1: 0.2413
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- - 1-recall: 0.1564
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- - 1-precision: 0.5279
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- - Balanced Acc: 0.5747
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  ## Model description
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@@ -54,12 +54,19 @@ The following hyperparameters were used during training:
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  ### Training results
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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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- | 0.0095 | 1.0 | 3484 | 0.8694 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 1.3096 | 2.0 | 6968 | 0.6567 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.5576 | 3.0 | 10452 | 0.6735 | 0.9097 | 0.3468 | 0.5023 | 0.2649 | 0.7162 |
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- | 0.0861 | 4.0 | 13936 | 0.6568 | 0.9531 | 0.2413 | 0.1564 | 0.5279 | 0.5747 |
 
 
 
 
 
 
 
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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: 1.3230
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+ - Accuracy: 0.9523
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+ - 1-f1: 0.0
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+ - 1-recall: 0.0
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+ - 1-precision: 0.0
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+ - Balanced Acc: 0.5
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  ## Model description
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  ### Training results
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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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+ | 0.0128 | 1.0 | 3484 | 0.9344 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.9515 | 2.0 | 6968 | 0.8225 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.6456 | 3.0 | 10452 | 0.8839 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.053 | 4.0 | 13936 | 0.9211 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.5498 | 5.0 | 17420 | 0.9413 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.218 | 6.0 | 20904 | 0.8088 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 1.9402 | 7.0 | 24388 | 1.1587 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.6771 | 8.0 | 27872 | 1.2072 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.6533 | 9.0 | 31356 | 1.4121 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.8778 | 10.0 | 34840 | 1.2411 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.4423 | 11.0 | 38324 | 1.3230 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
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  ### Framework versions
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