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populism_classifier_020

Text Classification
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bert
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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_19-55-35_2e8e96a3dcb3/events.out.tfevents.1756151735.2e8e96a3dcb3.2911.20 +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: 0.3324
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- - Accuracy: 0.9141
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- - 1-f1: 0.6909
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  - 1-recall: 0.76
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- - 1-precision: 0.6333
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- - Balanced Acc: 0.8482
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  ## Model description
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@@ -55,10 +55,11 @@ 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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- | 0.7055 | 1.0 | 7 | 0.3377 | 0.9343 | 0.7636 | 0.84 | 0.7 | 0.8940 |
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- | 0.1693 | 2.0 | 14 | 0.2180 | 0.8687 | 0.6486 | 0.96 | 0.4898 | 0.9077 |
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- | 0.2133 | 3.0 | 21 | 0.2297 | 0.9242 | 0.7619 | 0.96 | 0.6316 | 0.9395 |
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- | 0.1069 | 4.0 | 28 | 0.3324 | 0.9141 | 0.6909 | 0.76 | 0.6333 | 0.8482 |
 
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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: 0.5384
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+ - Accuracy: 0.8939
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+ - 1-f1: 0.6441
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  - 1-recall: 0.76
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+ - 1-precision: 0.5588
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+ - Balanced Acc: 0.8366
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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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+ | 0.3826 | 1.0 | 7 | 0.3787 | 0.8889 | 0.6207 | 0.72 | 0.5455 | 0.8166 |
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+ | 0.1424 | 2.0 | 14 | 0.3672 | 0.8838 | 0.6230 | 0.76 | 0.5278 | 0.8309 |
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+ | 0.1413 | 3.0 | 21 | 0.3174 | 0.8687 | 0.6176 | 0.84 | 0.4884 | 0.8564 |
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+ | 0.1002 | 4.0 | 28 | 0.6380 | 0.9192 | 0.6667 | 0.64 | 0.6957 | 0.7998 |
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+ | 0.052 | 5.0 | 35 | 0.5384 | 0.8939 | 0.6441 | 0.76 | 0.5588 | 0.8366 |
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  ### Framework versions
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