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populism_classifier_398

Text Classification
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Safetensors
rembert
Generated from Trainer
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xet
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End of training

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  1. README.md +14 -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: 0.7020
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- - Accuracy: 0.6533
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- - 1-f1: 0.032
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- - 1-recall: 0.0741
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- - 1-precision: 0.0204
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- - Balanced Acc: 0.3880
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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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- | 0.5237 | 1.0 | 88 | 0.7195 | 0.1060 | 0.1475 | 1.0 | 0.0796 | 0.5155 |
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- | 0.433 | 2.0 | 176 | 0.6923 | 0.5244 | 0.0778 | 0.2593 | 0.0458 | 0.4029 |
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- | 0.6704 | 3.0 | 264 | 0.7048 | 0.1175 | 0.1492 | 1.0 | 0.0806 | 0.5217 |
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- | 0.2894 | 4.0 | 352 | 0.7020 | 0.6533 | 0.032 | 0.0741 | 0.0204 | 0.3880 |
 
 
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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: 0.6991
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+ - Accuracy: 0.9226
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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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+ | 0.6828 | 1.0 | 88 | 0.6785 | 0.9169 | 0.0 | 0.0 | 0.0 | 0.4969 |
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+ | 0.4964 | 2.0 | 176 | 0.6847 | 0.9169 | 0.0 | 0.0 | 0.0 | 0.4969 |
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+ | 0.5545 | 3.0 | 264 | 0.7022 | 0.9226 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.0972 | 4.0 | 352 | 1.4597 | 0.9226 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.4714 | 5.0 | 440 | 0.7997 | 0.9226 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.6668 | 6.0 | 528 | 0.6991 | 0.9226 | 0.0 | 0.0 | 0.0 | 0.5 |
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  ### Framework versions
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