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populism_classifier_015

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 +9 -8
  2. model.safetensors +1 -1
  3. runs/Aug25_19-45-44_2e8e96a3dcb3/events.out.tfevents.1756151145.2e8e96a3dcb3.2911.15 +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: 0.4363
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- - Accuracy: 0.9316
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- - 1-f1: 0.5667
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  - 1-recall: 0.6538
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- - 1-precision: 0.5
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- - Balanced Acc: 0.8029
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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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- | 0.1614 | 1.0 | 12 | 0.2498 | 0.9342 | 0.6377 | 0.8462 | 0.5116 | 0.8934 |
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- | 0.1626 | 2.0 | 24 | 0.3146 | 0.9368 | 0.625 | 0.7692 | 0.5263 | 0.8592 |
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- | 0.078 | 3.0 | 36 | 0.4363 | 0.9316 | 0.5667 | 0.6538 | 0.5 | 0.8029 |
 
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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: 0.4796
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+ - Accuracy: 0.9368
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+ - 1-f1: 0.5862
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  - 1-recall: 0.6538
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+ - 1-precision: 0.5312
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+ - Balanced Acc: 0.8057
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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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+ | 0.221 | 1.0 | 12 | 0.2908 | 0.9316 | 0.5938 | 0.7308 | 0.5 | 0.8385 |
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+ | 0.2255 | 2.0 | 24 | 0.2847 | 0.9289 | 0.6087 | 0.8077 | 0.4884 | 0.8728 |
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+ | 0.1385 | 3.0 | 36 | 0.3948 | 0.9211 | 0.5588 | 0.7308 | 0.4524 | 0.8329 |
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+ | 0.0618 | 4.0 | 48 | 0.4796 | 0.9368 | 0.5862 | 0.6538 | 0.5312 | 0.8057 |
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  ### Framework versions
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