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populism_classifier_397

Text Classification
Transformers
Safetensors
rembert
Generated from Trainer
Model card Files
xet
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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: 0.9330
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  - Accuracy: 0.9588
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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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- | 0.8271 | 1.0 | 97 | 0.5781 | 0.9588 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.0213 | 2.0 | 194 | 1.1170 | 0.9588 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 1.7847 | 3.0 | 291 | 0.9330 | 0.9588 | 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: 1.0963
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  - Accuracy: 0.9588
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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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+ | 0.4945 | 1.0 | 97 | 0.5636 | 0.9588 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.0041 | 2.0 | 194 | 1.5183 | 0.9588 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 2.1759 | 3.0 | 291 | 1.0225 | 0.9588 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 2.436 | 4.0 | 388 | 1.2688 | 0.9588 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 1.5267 | 5.0 | 485 | 1.0997 | 0.9588 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.691 | 6.0 | 582 | 1.0963 | 0.9588 | 0.0 | 0.0 | 0.0 | 0.5 |
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  ### Framework versions
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