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populism_classifier_024

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 +5 -4
  2. model.safetensors +1 -1
  3. runs/Aug25_20-03-13_2e8e96a3dcb3/events.out.tfevents.1756152194.2e8e96a3dcb3.2911.24 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ 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: 0.8698
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  - Accuracy: 0.9549
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  - 1-f1: 0.56
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  - 1-recall: 0.4828
@@ -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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- | 0.3493 | 1.0 | 16 | 0.4957 | 0.9508 | 0.5862 | 0.5862 | 0.5862 | 0.7800 |
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- | 0.1075 | 2.0 | 32 | 0.5941 | 0.9467 | 0.5517 | 0.5517 | 0.5517 | 0.7617 |
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- | 0.0346 | 3.0 | 48 | 0.8698 | 0.9549 | 0.56 | 0.4828 | 0.6667 | 0.7338 |
 
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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: 0.6966
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  - Accuracy: 0.9549
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  - 1-f1: 0.56
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  - 1-recall: 0.4828
 
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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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+ | 0.3575 | 1.0 | 16 | 0.4768 | 0.9590 | 0.6 | 0.5172 | 0.7143 | 0.7521 |
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+ | 0.1234 | 2.0 | 32 | 0.4129 | 0.9406 | 0.5915 | 0.7241 | 0.5 | 0.8392 |
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+ | 0.0735 | 3.0 | 48 | 0.5019 | 0.9447 | 0.5714 | 0.6207 | 0.5294 | 0.7929 |
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+ | 0.0393 | 4.0 | 64 | 0.6966 | 0.9549 | 0.56 | 0.4828 | 0.6667 | 0.7338 |
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  ### Framework versions
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