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populism_classifier_025

Text Classification
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End of training

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  1. README.md +9 -10
  2. model.safetensors +1 -1
  3. runs/Aug25_20-21-07_9cbfd459869c/events.out.tfevents.1756153267.9cbfd459869c.1551.4 +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: 0.6593
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- - Accuracy: 0.8682
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- - 1-f1: 0.3434
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- - 1-recall: 0.5484
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- - 1-precision: 0.25
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- - Balanced Acc: 0.7190
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  ## Model description
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@@ -55,10 +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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- | 0.5037 | 1.0 | 16 | 0.5130 | 0.7546 | 0.2577 | 0.6774 | 0.1591 | 0.7186 |
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- | 0.3225 | 2.0 | 32 | 0.4836 | 0.8377 | 0.3103 | 0.5806 | 0.2118 | 0.7178 |
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- | 0.3458 | 3.0 | 48 | 0.4968 | 0.7525 | 0.2989 | 0.8387 | 0.1818 | 0.7927 |
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- | 0.3137 | 4.0 | 64 | 0.6593 | 0.8682 | 0.3434 | 0.5484 | 0.25 | 0.7190 |
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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: 0.6063
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+ - Accuracy: 0.9265
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+ - 1-f1: 0.3636
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+ - 1-recall: 0.4
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+ - 1-precision: 0.3333
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+ - Balanced Acc: 0.6778
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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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+ | 0.3368 | 1.0 | 21 | 0.4284 | 0.9040 | 0.4182 | 0.6571 | 0.3067 | 0.7874 |
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+ | 0.345 | 2.0 | 42 | 0.4344 | 0.8951 | 0.3396 | 0.5143 | 0.2535 | 0.7152 |
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+ | 0.2746 | 3.0 | 63 | 0.6063 | 0.9265 | 0.3636 | 0.4 | 0.3333 | 0.6778 |
 
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  ### Framework versions
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