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populism_classifier_008

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 +10 -9
  2. model.safetensors +1 -1
  3. runs/Aug25_19-29-16_2e8e96a3dcb3/events.out.tfevents.1756150157.2e8e96a3dcb3.2911.8 +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: 0.2592
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- - Accuracy: 0.9456
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- - 1-f1: 0.7077
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- - 1-recall: 0.8519
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- - 1-precision: 0.6053
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- - Balanced Acc: 0.9026
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  ## Model description
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@@ -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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- | 0.2177 | 1.0 | 11 | 0.1965 | 0.9054 | 0.6118 | 0.9630 | 0.4483 | 0.9318 |
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- | 0.138 | 2.0 | 22 | 0.2024 | 0.9226 | 0.6494 | 0.9259 | 0.5 | 0.9241 |
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- | 0.0942 | 3.0 | 33 | 0.2592 | 0.9456 | 0.7077 | 0.8519 | 0.6053 | 0.9026 |
 
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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: 0.4235
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+ - Accuracy: 0.9570
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+ - 1-f1: 0.7059
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+ - 1-recall: 0.6667
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+ - 1-precision: 0.75
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+ - Balanced Acc: 0.8240
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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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+ | 0.1603 | 1.0 | 11 | 0.1781 | 0.9026 | 0.6047 | 0.9630 | 0.4407 | 0.9302 |
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+ | 0.1898 | 2.0 | 22 | 0.1727 | 0.9312 | 0.6842 | 0.9630 | 0.5306 | 0.9458 |
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+ | 0.2014 | 3.0 | 33 | 0.2060 | 0.9628 | 0.7937 | 0.9259 | 0.6944 | 0.9459 |
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+ | 0.1014 | 4.0 | 44 | 0.4235 | 0.9570 | 0.7059 | 0.6667 | 0.75 | 0.8240 |
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  ### Framework versions
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