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populism_classifier_002

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 -10
  2. model.safetensors +1 -1
  3. runs/Aug25_19-15-39_2e8e96a3dcb3/events.out.tfevents.1756149340.2e8e96a3dcb3.2911.2 +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: 0.4309
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- - Accuracy: 0.9738
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- - 1-f1: 0.6
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- - 1-recall: 0.5
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- - 1-precision: 0.75
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- - Balanced Acc: 0.7466
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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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- | 0.2745 | 1.0 | 10 | 0.2138 | 0.9410 | 0.5263 | 0.8333 | 0.3846 | 0.8894 |
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- | 0.1799 | 2.0 | 20 | 0.2029 | 0.9475 | 0.5556 | 0.8333 | 0.4167 | 0.8928 |
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- | 0.1444 | 3.0 | 30 | 0.3058 | 0.9738 | 0.6364 | 0.5833 | 0.7 | 0.7865 |
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- | 0.0837 | 4.0 | 40 | 0.4309 | 0.9738 | 0.6 | 0.5 | 0.75 | 0.7466 |
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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: 0.3690
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+ - Accuracy: 0.9672
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+ - 1-f1: 0.5
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+ - 1-recall: 0.4167
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+ - 1-precision: 0.625
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+ - Balanced Acc: 0.7032
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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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+ | 0.2633 | 1.0 | 10 | 0.2408 | 0.9246 | 0.4651 | 0.8333 | 0.3226 | 0.8808 |
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+ | 0.3049 | 2.0 | 20 | 0.3274 | 0.9639 | 0.5217 | 0.5 | 0.5455 | 0.7415 |
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+ | 0.082 | 3.0 | 30 | 0.3690 | 0.9672 | 0.5 | 0.4167 | 0.625 | 0.7032 |
 
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  ### Framework versions
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