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populism_classifier_097

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 +10 -11
  2. model.safetensors +1 -1
  3. runs/Aug26_02-33-38_ebae452a3ad2/events.out.tfevents.1756175618.ebae452a3ad2.1874.2 +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: 0.2108
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- - Accuracy: 0.9688
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- - 1-f1: 0.7234
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- - 1-recall: 0.7727
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- - 1-precision: 0.68
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- - Balanced Acc: 0.8762
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  ## Model description
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@@ -55,11 +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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- | 0.1535 | 1.0 | 13 | 0.1805 | 0.9207 | 0.56 | 0.9545 | 0.3962 | 0.9367 |
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- | 0.3655 | 2.0 | 26 | 0.1594 | 0.9639 | 0.7059 | 0.8182 | 0.6207 | 0.8951 |
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- | 0.1267 | 3.0 | 39 | 0.1101 | 0.9471 | 0.6667 | 1.0 | 0.5 | 0.9721 |
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- | 0.2097 | 4.0 | 52 | 0.2043 | 0.9736 | 0.7755 | 0.8636 | 0.7037 | 0.9217 |
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- | 0.0625 | 5.0 | 65 | 0.2108 | 0.9688 | 0.7234 | 0.7727 | 0.68 | 0.8762 |
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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: 0.3891
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+ - Accuracy: 0.9628
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+ - 1-f1: 0.5238
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+ - 1-recall: 0.5789
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+ - 1-precision: 0.4783
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+ - Balanced Acc: 0.7779
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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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+ | 0.1771 | 1.0 | 17 | 0.3657 | 0.9535 | 0.4186 | 0.4737 | 0.375 | 0.7224 |
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+ | 0.2792 | 2.0 | 34 | 0.2884 | 0.9554 | 0.4783 | 0.5789 | 0.4074 | 0.7741 |
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+ | 0.2725 | 3.0 | 51 | 0.3435 | 0.9461 | 0.4528 | 0.6316 | 0.3529 | 0.7946 |
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+ | 0.0743 | 4.0 | 68 | 0.3891 | 0.9628 | 0.5238 | 0.5789 | 0.4783 | 0.7779 |
 
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  ### Framework versions
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