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populism_classifier_395

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 +16 -10
  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: 0.8181
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- - Accuracy: 0.9441
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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 Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
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- | 0.2947 | 1.0 | 108 | 0.6166 | 0.9441 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.9524 | 2.0 | 216 | 0.5859 | 0.9441 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.5436 | 3.0 | 324 | 0.7579 | 0.2564 | 0.1064 | 0.7917 | 0.0571 | 0.5082 |
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- | 0.7444 | 4.0 | 432 | 0.8181 | 0.9441 | 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: 0.7593
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+ - Accuracy: 0.7203
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+ - 1-f1: 0.1781
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+ - 1-recall: 0.5417
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+ - 1-precision: 0.1066
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+ - Balanced Acc: 0.6363
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  ## Model description
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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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+ | 0.3534 | 1.0 | 108 | 0.6570 | 0.9417 | 0.0 | 0.0 | 0.0 | 0.4988 |
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+ | 0.6423 | 2.0 | 216 | 0.6427 | 0.9417 | 0.0 | 0.0 | 0.0 | 0.4988 |
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+ | 0.6418 | 3.0 | 324 | 0.6813 | 0.7413 | 0.0672 | 0.1667 | 0.0421 | 0.4710 |
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+ | 0.9179 | 4.0 | 432 | 0.9171 | 0.9441 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.6552 | 5.0 | 540 | 0.6415 | 0.9394 | 0.0 | 0.0 | 0.0 | 0.4975 |
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+ | 0.2303 | 6.0 | 648 | 0.9350 | 0.0583 | 0.1062 | 1.0 | 0.0561 | 0.5012 |
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+ | 0.275 | 7.0 | 756 | 0.9327 | 0.0606 | 0.1064 | 1.0 | 0.0562 | 0.5025 |
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+ | 0.0706 | 8.0 | 864 | 0.7735 | 0.7319 | 0.1353 | 0.375 | 0.0826 | 0.5640 |
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+ | 0.0629 | 9.0 | 972 | 0.9589 | 0.5361 | 0.0744 | 0.3333 | 0.0419 | 0.4407 |
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+ | 0.0181 | 10.0 | 1080 | 0.7593 | 0.7203 | 0.1781 | 0.5417 | 0.1066 | 0.6363 |
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  ### Framework versions
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