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populism_classifier_396

Text Classification
Transformers
Safetensors
rembert
Generated from Trainer
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xet
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End of training

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  1. README.md +9 -10
  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: 1.0216
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  - Accuracy: 0.9355
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  - 1-f1: 0.0
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  - 1-recall: 0.0
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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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- | 0.9388 | 1.0 | 128 | 0.7326 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.7186 | 2.0 | 256 | 0.6407 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 1.1609 | 3.0 | 384 | 0.9637 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.7752 | 4.0 | 512 | 0.6224 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.4559 | 5.0 | 640 | 0.6213 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.7634 | 6.0 | 768 | 0.8243 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.8552 | 7.0 | 896 | 1.0216 | 0.9355 | 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: 0.6710
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  - Accuracy: 0.9355
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  - 1-f1: 0.0
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  - 1-recall: 0.0
 
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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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+ | 1.1991 | 1.0 | 128 | 0.6415 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 1.2117 | 2.0 | 256 | 0.6960 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 1.4748 | 3.0 | 384 | 1.1384 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.7464 | 4.0 | 512 | 0.7210 | 0.7695 | 0.0167 | 0.0303 | 0.0115 | 0.4254 |
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+ | 0.6122 | 5.0 | 640 | 0.6916 | 0.75 | 0.0303 | 0.0606 | 0.0202 | 0.4291 |
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+ | 0.8029 | 6.0 | 768 | 0.6710 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
 
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  ### Framework versions
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