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populism_classifier_012

Text Classification
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bert
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text-embeddings-inference
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End of training

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  1. README.md +9 -10
  2. model.safetensors +1 -1
  3. runs/Aug25_19-37-40_2e8e96a3dcb3/events.out.tfevents.1756150660.2e8e96a3dcb3.2911.12 +3 -0
  4. 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-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3296
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- - Accuracy: 0.9604
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- - 1-f1: 0.7333
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- - 1-recall: 0.8148
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- - 1-precision: 0.6667
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- - Balanced Acc: 0.8928
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  ## Model description
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@@ -55,10 +55,9 @@ 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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- | 0.1662 | 1.0 | 13 | 0.3189 | 0.9604 | 0.68 | 0.6296 | 0.7391 | 0.8069 |
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- | 0.2459 | 2.0 | 26 | 0.2281 | 0.9579 | 0.7213 | 0.8148 | 0.6471 | 0.8915 |
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- | 0.1015 | 3.0 | 39 | 0.2762 | 0.9579 | 0.7213 | 0.8148 | 0.6471 | 0.8915 |
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- | 0.0546 | 4.0 | 52 | 0.3296 | 0.9604 | 0.7333 | 0.8148 | 0.6667 | 0.8928 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1861
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+ - Accuracy: 0.9530
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+ - 1-f1: 0.7246
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+ - 1-recall: 0.9259
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+ - 1-precision: 0.5952
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+ - Balanced Acc: 0.9404
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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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+ | 0.1072 | 1.0 | 13 | 0.1435 | 0.9480 | 0.7042 | 0.9259 | 0.5682 | 0.9378 |
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+ | 0.111 | 2.0 | 26 | 0.1622 | 0.9554 | 0.7353 | 0.9259 | 0.6098 | 0.9417 |
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+ | 0.0913 | 3.0 | 39 | 0.1861 | 0.9530 | 0.7246 | 0.9259 | 0.5952 | 0.9404 |
 
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  ### Framework versions
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