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populism_classifier_018

Text Classification
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bert
Generated from Trainer
text-embeddings-inference
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End of training

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  1. README.md +9 -8
  2. model.safetensors +1 -1
  3. runs/Aug25_19-51-29_2e8e96a3dcb3/events.out.tfevents.1756151490.2e8e96a3dcb3.2911.18 +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: 0.3346
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- - Accuracy: 0.9808
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- - 1-f1: 0.8095
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  - 1-recall: 0.7727
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- - 1-precision: 0.85
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- - Balanced Acc: 0.8826
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  ## Model description
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@@ -55,9 +55,10 @@ 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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- | 0.2129 | 1.0 | 13 | 0.1573 | 0.9135 | 0.55 | 1.0 | 0.3793 | 0.9543 |
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- | 0.0677 | 2.0 | 26 | 0.1706 | 0.9615 | 0.6923 | 0.8182 | 0.6 | 0.8939 |
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- | 0.0696 | 3.0 | 39 | 0.3346 | 0.9808 | 0.8095 | 0.7727 | 0.85 | 0.8826 |
 
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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: 0.1638
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+ - Accuracy: 0.9688
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+ - 1-f1: 0.7234
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  - 1-recall: 0.7727
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+ - 1-precision: 0.68
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+ - Balanced Acc: 0.8762
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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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+ | 0.2998 | 1.0 | 13 | 0.1491 | 0.9183 | 0.5641 | 1.0 | 0.3929 | 0.9569 |
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+ | 0.1363 | 2.0 | 26 | 0.1195 | 0.9471 | 0.6667 | 1.0 | 0.5 | 0.9721 |
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+ | 0.1222 | 3.0 | 39 | 0.1237 | 0.9447 | 0.6567 | 1.0 | 0.4889 | 0.9708 |
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+ | 0.086 | 4.0 | 52 | 0.1638 | 0.9688 | 0.7234 | 0.7727 | 0.68 | 0.8762 |
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  ### Framework versions
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