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populism_classifier_007

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_19-27-26_2e8e96a3dcb3/events.out.tfevents.1756150046.2e8e96a3dcb3.2911.7 +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: 0.6903
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- - Accuracy: 0.9716
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- - 1-f1: 0.5217
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- - 1-recall: 0.375
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- - 1-precision: 0.8571
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- - Balanced Acc: 0.6862
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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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- | 0.1317 | 1.0 | 13 | 0.2156 | 0.9149 | 0.4590 | 0.875 | 0.3111 | 0.8958 |
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- | 0.0308 | 2.0 | 26 | 0.2548 | 0.9588 | 0.6190 | 0.8125 | 0.5 | 0.8888 |
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- | 0.1845 | 3.0 | 39 | 0.6903 | 0.9716 | 0.5217 | 0.375 | 0.8571 | 0.6862 |
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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: 0.3866
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+ - Accuracy: 0.9742
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+ - 1-f1: 0.6429
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+ - 1-recall: 0.5625
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+ - 1-precision: 0.75
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+ - Balanced Acc: 0.7772
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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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+ | 0.1789 | 1.0 | 13 | 0.1197 | 0.9536 | 0.64 | 1.0 | 0.4706 | 0.9758 |
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+ | 0.0225 | 2.0 | 26 | 0.1601 | 0.9691 | 0.7 | 0.875 | 0.5833 | 0.9241 |
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+ | 0.0267 | 3.0 | 39 | 0.3866 | 0.9742 | 0.6429 | 0.5625 | 0.75 | 0.7772 |
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  ### Framework versions
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