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populism_classifier_005

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 -9
  2. model.safetensors +1 -1
  3. runs/Aug25_19-23-25_2e8e96a3dcb3/events.out.tfevents.1756149805.2e8e96a3dcb3.2911.5 +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: 0.5295
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- - Accuracy: 0.9534
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- - 1-f1: 0.6
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- - 1-recall: 0.625
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- - 1-precision: 0.5769
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- - Balanced Acc: 0.7989
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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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- | 0.3265 | 1.0 | 14 | 0.2576 | 0.9371 | 0.5846 | 0.7917 | 0.4634 | 0.8687 |
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- | 0.2059 | 2.0 | 28 | 0.3658 | 0.9464 | 0.5965 | 0.7083 | 0.5152 | 0.8344 |
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- | 0.046 | 3.0 | 42 | 0.5295 | 0.9534 | 0.6 | 0.625 | 0.5769 | 0.7989 |
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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: 0.3317
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+ - Accuracy: 0.9604
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+ - 1-f1: 0.6667
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+ - 1-recall: 0.7083
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+ - 1-precision: 0.6296
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+ - Balanced Acc: 0.8418
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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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+ | 0.2975 | 1.0 | 14 | 0.1979 | 0.9441 | 0.6364 | 0.875 | 0.5 | 0.9116 |
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+ | 0.1672 | 2.0 | 28 | 0.2414 | 0.9347 | 0.5882 | 0.8333 | 0.4545 | 0.8870 |
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+ | 0.0504 | 3.0 | 42 | 0.3317 | 0.9604 | 0.6667 | 0.7083 | 0.6296 | 0.8418 |
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  ### Framework versions
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