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populism_classifier_009

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 -10
  2. model.safetensors +1 -1
  3. runs/Aug25_19-31-19_2e8e96a3dcb3/events.out.tfevents.1756150280.2e8e96a3dcb3.2911.9 +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: 0.4677
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- - Accuracy: 0.9633
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- - 1-f1: 0.5581
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- - 1-recall: 0.4615
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- - 1-precision: 0.7059
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- - Balanced Acc: 0.7257
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  ## Model description
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@@ -55,10 +55,9 @@ 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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- | 0.3378 | 1.0 | 17 | 0.2088 | 0.9093 | 0.5155 | 0.9615 | 0.3521 | 0.9340 |
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- | 0.0982 | 2.0 | 34 | 0.1658 | 0.9633 | 0.7246 | 0.9615 | 0.5814 | 0.9625 |
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- | 0.067 | 3.0 | 51 | 0.2090 | 0.9595 | 0.6667 | 0.8077 | 0.5676 | 0.8876 |
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- | 0.0707 | 4.0 | 68 | 0.4677 | 0.9633 | 0.5581 | 0.4615 | 0.7059 | 0.7257 |
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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: 0.2134
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+ - Accuracy: 0.9440
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+ - 1-f1: 0.6133
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+ - 1-recall: 0.8846
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+ - 1-precision: 0.4694
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+ - Balanced Acc: 0.9159
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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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+ | 0.343 | 1.0 | 17 | 0.1883 | 0.9517 | 0.6575 | 0.9231 | 0.5106 | 0.9382 |
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+ | 0.1968 | 2.0 | 34 | 0.2708 | 0.9672 | 0.7018 | 0.7692 | 0.6452 | 0.8734 |
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+ | 0.1322 | 3.0 | 51 | 0.2134 | 0.9440 | 0.6133 | 0.8846 | 0.4694 | 0.9159 |
 
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  ### Framework versions
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