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populism_classifier_013

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_19-39-32_2e8e96a3dcb3/events.out.tfevents.1756150772.2e8e96a3dcb3.2911.13 +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: 0.4179
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- - Accuracy: 0.9653
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- - 1-f1: 0.5128
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- - 1-recall: 0.4348
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- - 1-precision: 0.625
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- - Balanced Acc: 0.7117
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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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- | 0.2914 | 1.0 | 18 | 0.1853 | 0.9232 | 0.5116 | 0.9565 | 0.3492 | 0.9391 |
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- | 0.119 | 2.0 | 36 | 0.4377 | 0.9653 | 0.4571 | 0.3478 | 0.6667 | 0.6701 |
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- | 0.0692 | 3.0 | 54 | 0.4179 | 0.9653 | 0.5128 | 0.4348 | 0.625 | 0.7117 |
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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: 0.4561
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+ - Accuracy: 0.9561
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+ - 1-f1: 0.5385
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+ - 1-recall: 0.6087
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+ - 1-precision: 0.4828
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+ - Balanced Acc: 0.7900
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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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+ | 0.3108 | 1.0 | 18 | 0.2281 | 0.9250 | 0.4533 | 0.7391 | 0.3269 | 0.8362 |
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+ | 0.3548 | 2.0 | 36 | 0.2521 | 0.9342 | 0.4545 | 0.6522 | 0.3488 | 0.7994 |
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+ | 0.0586 | 3.0 | 54 | 0.4561 | 0.9561 | 0.5385 | 0.6087 | 0.4828 | 0.7900 |
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  ### Framework versions
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