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populism_classifier_014

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_19-41-42_2e8e96a3dcb3/events.out.tfevents.1756150903.2e8e96a3dcb3.2911.14 +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: 0.1315
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- - Accuracy: 0.9873
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- - 1-f1: 0.7788
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- - 1-recall: 0.7719
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- - 1-precision: 0.7857
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- - Balanced Acc: 0.8828
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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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- | 0.1189 | 1.0 | 62 | 0.1221 | 0.9884 | 0.8 | 0.8070 | 0.7931 | 0.9004 |
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- | 0.0074 | 2.0 | 124 | 0.1515 | 0.9904 | 0.8319 | 0.8246 | 0.8393 | 0.9099 |
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- | 0.0032 | 3.0 | 186 | 0.1315 | 0.9873 | 0.7788 | 0.7719 | 0.7857 | 0.8828 |
 
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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: 0.2774
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+ - Accuracy: 0.9894
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+ - 1-f1: 0.8108
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+ - 1-recall: 0.7895
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+ - 1-precision: 0.8333
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+ - Balanced Acc: 0.8924
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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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+ | 0.0278 | 1.0 | 62 | 0.1071 | 0.9899 | 0.8361 | 0.8947 | 0.7846 | 0.9437 |
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+ | 0.044 | 2.0 | 124 | 0.0920 | 0.9904 | 0.8455 | 0.9123 | 0.7879 | 0.9525 |
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+ | 0.0612 | 3.0 | 186 | 0.1116 | 0.9858 | 0.7910 | 0.9298 | 0.6883 | 0.9587 |
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+ | 0.0008 | 4.0 | 248 | 0.2774 | 0.9894 | 0.8108 | 0.7895 | 0.8333 | 0.8924 |
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  ### Framework versions
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