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populism_classifier_017

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 +9 -9
  2. model.safetensors +1 -1
  3. runs/Aug25_19-49-39_2e8e96a3dcb3/events.out.tfevents.1756151379.2e8e96a3dcb3.2911.17 +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: 0.4441
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- - Accuracy: 0.9630
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- - 1-f1: 0.6667
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- - 1-recall: 0.6429
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- - 1-precision: 0.6923
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- - Balanced Acc: 0.8127
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  ## Model description
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@@ -55,9 +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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- | 0.2472 | 1.0 | 16 | 0.3270 | 0.9630 | 0.6786 | 0.6786 | 0.6786 | 0.8295 |
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- | 0.3662 | 2.0 | 32 | 0.3292 | 0.9486 | 0.6154 | 0.7143 | 0.5405 | 0.8386 |
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- | 0.0683 | 3.0 | 48 | 0.4441 | 0.9630 | 0.6667 | 0.6429 | 0.6923 | 0.8127 |
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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: 0.6076
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+ - Accuracy: 0.9568
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+ - 1-f1: 0.5714
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+ - 1-recall: 0.5
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+ - 1-precision: 0.6667
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+ - Balanced Acc: 0.7424
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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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+ | 0.2517 | 1.0 | 16 | 0.2444 | 0.9259 | 0.5610 | 0.8214 | 0.4259 | 0.8769 |
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+ | 0.4037 | 2.0 | 32 | 0.3767 | 0.9424 | 0.5484 | 0.6071 | 0.5 | 0.7850 |
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+ | 0.0528 | 3.0 | 48 | 0.6076 | 0.9568 | 0.5714 | 0.5 | 0.6667 | 0.7424 |
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  ### Framework versions
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