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populism_classifier_401

Text Classification
Transformers
Safetensors
rembert
Generated from Trainer
Model card Files
xet
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AnonymousCS commited on
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0877048
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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: 1.1034
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  - Accuracy: 0.9530
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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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- | 0.6237 | 1.0 | 133 | 0.5998 | 0.9530 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.9323 | 2.0 | 266 | 1.5439 | 0.9530 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.0265 | 3.0 | 399 | 1.1034 | 0.9530 | 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: 1.1244
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  - Accuracy: 0.9530
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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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+ | 0.589 | 1.0 | 133 | 0.6016 | 0.9530 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.4622 | 2.0 | 266 | 0.6121 | 0.9530 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.0284 | 3.0 | 399 | 0.8844 | 0.9530 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 1.6215 | 4.0 | 532 | 1.0346 | 0.9530 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.711 | 5.0 | 665 | 1.2538 | 0.9530 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 1.6142 | 6.0 | 798 | 1.1244 | 0.9530 | 0.0 | 0.0 | 0.0 | 0.5 |
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  ### Framework versions
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