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populism_classifier_003

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 +10 -9
  2. model.safetensors +1 -1
  3. runs/Aug25_19-17-22_2e8e96a3dcb3/events.out.tfevents.1756149443.2e8e96a3dcb3.2911.3 +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: 0.2374
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- - Accuracy: 0.9438
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- - 1-f1: 0.6780
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- - 1-recall: 0.8
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- - 1-precision: 0.5882
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- - Balanced Acc: 0.8776
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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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- | 0.2873 | 1.0 | 11 | 0.2318 | 0.8905 | 0.5542 | 0.92 | 0.3966 | 0.9041 |
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- | 0.4408 | 2.0 | 22 | 0.3845 | 0.9586 | 0.6957 | 0.64 | 0.7619 | 0.8120 |
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- | 0.1376 | 3.0 | 33 | 0.2374 | 0.9438 | 0.6780 | 0.8 | 0.5882 | 0.8776 |
 
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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: 0.2029
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+ - Accuracy: 0.9704
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+ - 1-f1: 0.8214
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+ - 1-recall: 0.92
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+ - 1-precision: 0.7419
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+ - Balanced Acc: 0.9472
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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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+ | 0.2206 | 1.0 | 11 | 0.1905 | 0.9645 | 0.7857 | 0.88 | 0.7097 | 0.9256 |
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+ | 0.2774 | 2.0 | 22 | 0.1687 | 0.9675 | 0.8070 | 0.92 | 0.7188 | 0.9456 |
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+ | 0.0912 | 3.0 | 33 | 0.1892 | 0.9675 | 0.8 | 0.88 | 0.7333 | 0.9272 |
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+ | 0.0528 | 4.0 | 44 | 0.2029 | 0.9704 | 0.8214 | 0.92 | 0.7419 | 0.9472 |
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  ### Framework versions
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