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populism_classifier_101

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

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  1. README.md +9 -11
  2. model.safetensors +1 -1
  3. runs/Aug26_02-40-32_ebae452a3ad2/events.out.tfevents.1756176033.ebae452a3ad2.1874.6 +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 [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3468
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- - Accuracy: 0.9660
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- - 1-f1: 0.6061
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- - 1-recall: 0.625
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- - 1-precision: 0.5882
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- - Balanced Acc: 0.8029
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  ## Model description
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@@ -55,11 +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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- | 0.1814 | 1.0 | 12 | 0.1343 | 0.9529 | 0.625 | 0.9375 | 0.4688 | 0.9455 |
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- | 0.2531 | 2.0 | 24 | 0.1921 | 0.9764 | 0.7097 | 0.6875 | 0.7333 | 0.8383 |
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- | 0.1415 | 3.0 | 36 | 0.1210 | 0.9503 | 0.6122 | 0.9375 | 0.4545 | 0.9442 |
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- | 0.0716 | 4.0 | 48 | 0.1575 | 0.9634 | 0.6667 | 0.875 | 0.5385 | 0.9211 |
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- | 0.0507 | 5.0 | 60 | 0.3468 | 0.9660 | 0.6061 | 0.625 | 0.5882 | 0.8029 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5211
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+ - Accuracy: 0.9144
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+ - 1-f1: 0.5
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+ - 1-recall: 0.5385
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+ - 1-precision: 0.4667
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+ - Balanced Acc: 0.7427
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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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+ | 0.3362 | 1.0 | 11 | 0.3323 | 0.8349 | 0.4706 | 0.9231 | 0.3158 | 0.8752 |
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+ | 0.2838 | 2.0 | 22 | 0.3717 | 0.8960 | 0.5143 | 0.6923 | 0.4091 | 0.8030 |
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+ | 0.3003 | 3.0 | 33 | 0.5211 | 0.9144 | 0.5 | 0.5385 | 0.4667 | 0.7427 |
 
 
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  ### Framework versions
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