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populism_classifier_016

Text Classification
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Safetensors
bert
Generated from Trainer
text-embeddings-inference
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End of training

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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Aug25_19-47-47_2e8e96a3dcb3/events.out.tfevents.1756151267.2e8e96a3dcb3.2911.16 +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: 0.4423
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  - Accuracy: 0.9208
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- - 1-f1: 0.5532
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- - 1-recall: 0.5909
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- - 1-precision: 0.52
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- - Balanced Acc: 0.7708
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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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- | 0.2564 | 1.0 | 9 | 0.2321 | 0.8981 | 0.6197 | 1.0 | 0.4490 | 0.9444 |
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- | 0.2114 | 2.0 | 18 | 0.2398 | 0.8981 | 0.6087 | 0.9545 | 0.4468 | 0.9238 |
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- | 0.1366 | 3.0 | 27 | 0.4423 | 0.9208 | 0.5532 | 0.5909 | 0.52 | 0.7708 |
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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: 0.5712
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  - Accuracy: 0.9208
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+ - 1-f1: 0.5333
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+ - 1-recall: 0.5455
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+ - 1-precision: 0.5217
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+ - Balanced Acc: 0.7501
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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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+ | 0.3101 | 1.0 | 9 | 0.2765 | 0.8491 | 0.5122 | 0.9545 | 0.35 | 0.8970 |
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+ | 0.2425 | 2.0 | 18 | 0.3022 | 0.8981 | 0.5424 | 0.7273 | 0.4324 | 0.8204 |
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+ | 0.1839 | 3.0 | 27 | 0.5712 | 0.9208 | 0.5333 | 0.5455 | 0.5217 | 0.7501 |
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  ### Framework versions
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