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populism_classifier_024

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 +12 -10
  2. model.safetensors +1 -1
  3. runs/Aug25_20-10-41_9cbfd459869c/events.out.tfevents.1756152641.9cbfd459869c.1551.1 +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: 0.6966
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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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- - 1-precision: 0.6667
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- - Balanced Acc: 0.7338
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  ## Model description
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@@ -55,10 +55,12 @@ 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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- | 0.3575 | 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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  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: 0.5272
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+ - Accuracy: 0.9190
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+ - 1-f1: 0.3415
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+ - 1-recall: 0.4
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+ - 1-precision: 0.2979
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+ - Balanced Acc: 0.6739
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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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+ | 0.6292 | 1.0 | 21 | 0.5845 | 0.9475 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.5461 | 2.0 | 42 | 0.5238 | 0.9475 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.5844 | 3.0 | 63 | 0.4760 | 0.8411 | 0.2838 | 0.6 | 0.1858 | 0.7272 |
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+ | 0.434 | 4.0 | 84 | 0.4533 | 0.8351 | 0.2857 | 0.6286 | 0.1849 | 0.7375 |
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+ | 0.3681 | 5.0 | 105 | 0.4649 | 0.8501 | 0.2958 | 0.6 | 0.1963 | 0.7320 |
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+ | 0.4453 | 6.0 | 126 | 0.5272 | 0.9190 | 0.3415 | 0.4 | 0.2979 | 0.6739 |
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  ### Framework versions
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