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populism_classifier_021

Text Classification
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bert
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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_19-57-40_2e8e96a3dcb3/events.out.tfevents.1756151861.2e8e96a3dcb3.2911.21 +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: 0.3897
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- - Accuracy: 0.9174
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- - 1-f1: 0.6154
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- - 1-recall: 0.75
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- - 1-precision: 0.5217
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- - Balanced Acc: 0.8418
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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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- | 0.4128 | 1.0 | 12 | 0.2730 | 0.8623 | 0.5370 | 0.9062 | 0.3816 | 0.8821 |
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- | 0.1771 | 2.0 | 24 | 0.2878 | 0.9008 | 0.5814 | 0.7812 | 0.4630 | 0.8468 |
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- | 0.1053 | 3.0 | 36 | 0.3897 | 0.9174 | 0.6154 | 0.75 | 0.5217 | 0.8418 |
 
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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: 0.5186
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+ - Accuracy: 0.9229
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+ - 1-f1: 0.6
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+ - 1-recall: 0.6562
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+ - 1-precision: 0.5526
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+ - Balanced Acc: 0.8024
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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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+ | 0.3938 | 1.0 | 12 | 0.3025 | 0.8733 | 0.5106 | 0.75 | 0.3871 | 0.8176 |
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+ | 0.2118 | 2.0 | 24 | 0.2972 | 0.8843 | 0.5435 | 0.7812 | 0.4167 | 0.8378 |
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+ | 0.1085 | 3.0 | 36 | 0.3442 | 0.8981 | 0.5432 | 0.6875 | 0.4490 | 0.8030 |
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+ | 0.1067 | 4.0 | 48 | 0.5186 | 0.9229 | 0.6 | 0.6562 | 0.5526 | 0.8024 |
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  ### Framework versions
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