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populism_classifier_006

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_19-25-16_2e8e96a3dcb3/events.out.tfevents.1756149917.2e8e96a3dcb3.2911.6 +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: 0.4094
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- - Accuracy: 0.9375
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- - 1-f1: 0.5789
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- - 1-recall: 0.6667
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- - 1-precision: 0.5116
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- - Balanced Acc: 0.8114
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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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- | 0.3473 | 1.0 | 16 | 0.2809 | 0.8477 | 0.4348 | 0.9091 | 0.2857 | 0.8763 |
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- | 0.3642 | 2.0 | 32 | 0.3396 | 0.9180 | 0.5714 | 0.8485 | 0.4308 | 0.8856 |
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- | 0.2838 | 3.0 | 48 | 0.4094 | 0.9375 | 0.5789 | 0.6667 | 0.5116 | 0.8114 |
 
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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: 0.4929
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+ - Accuracy: 0.9297
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+ - 1-f1: 0.5135
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+ - 1-recall: 0.5758
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+ - 1-precision: 0.4634
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+ - Balanced Acc: 0.7649
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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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+ | 0.3634 | 1.0 | 16 | 0.2085 | 0.8848 | 0.5203 | 0.9697 | 0.3556 | 0.9243 |
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+ | 0.2717 | 2.0 | 32 | 0.1999 | 0.9102 | 0.5818 | 0.9697 | 0.4156 | 0.9379 |
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+ | 0.1975 | 3.0 | 48 | 0.3567 | 0.9395 | 0.5753 | 0.6364 | 0.525 | 0.7983 |
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+ | 0.0682 | 4.0 | 64 | 0.4929 | 0.9297 | 0.5135 | 0.5758 | 0.4634 | 0.7649 |
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  ### Framework versions
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