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populism_classifier_022

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 +8 -8
  2. model.safetensors +1 -1
  3. runs/Aug25_19-59-43_2e8e96a3dcb3/events.out.tfevents.1756151984.2e8e96a3dcb3.2911.22 +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: 0.3726
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- - Accuracy: 0.9738
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- - 1-f1: 0.6875
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  - 1-recall: 0.6875
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- - 1-precision: 0.6875
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- - Balanced Acc: 0.8369
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  ## Model description
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@@ -55,9 +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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- | 0.1862 | 1.0 | 12 | 0.2194 | 0.9660 | 0.6286 | 0.6875 | 0.5789 | 0.8328 |
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- | 0.129 | 2.0 | 24 | 0.2823 | 0.9764 | 0.7097 | 0.6875 | 0.7333 | 0.8383 |
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- | 0.0337 | 3.0 | 36 | 0.3726 | 0.9738 | 0.6875 | 0.6875 | 0.6875 | 0.8369 |
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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: 0.3671
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+ - Accuracy: 0.9634
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+ - 1-f1: 0.6111
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  - 1-recall: 0.6875
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+ - 1-precision: 0.55
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+ - Balanced Acc: 0.8315
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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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+ | 0.1496 | 1.0 | 12 | 0.2099 | 0.9686 | 0.6471 | 0.6875 | 0.6111 | 0.8342 |
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+ | 0.1463 | 2.0 | 24 | 0.2826 | 0.9764 | 0.7097 | 0.6875 | 0.7333 | 0.8383 |
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+ | 0.0714 | 3.0 | 36 | 0.3671 | 0.9634 | 0.6111 | 0.6875 | 0.55 | 0.8315 |
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  ### Framework versions
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