Instructions to use AnonymousCS/populism_classifier_400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_400 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_400")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_400") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_400") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +7 -4
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [google/rembert](https://huggingface.co/google/rembert) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.9658
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- 1-f1: 0.0
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- 1-recall: 0.0
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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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### Framework versions
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This model is a fine-tuned version of [google/rembert](https://huggingface.co/google/rembert) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8831
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- Accuracy: 0.9658
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- 1-f1: 0.0
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- 1-recall: 0.0
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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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| 0.0075 | 1.0 | 212 | 0.7233 | 0.9658 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 1.9357 | 2.0 | 424 | 0.8050 | 0.9658 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.7521 | 3.0 | 636 | 0.8106 | 0.9658 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.0121 | 4.0 | 848 | 0.8204 | 0.9658 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.0215 | 5.0 | 1060 | 0.8344 | 0.9658 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.0137 | 6.0 | 1272 | 0.8831 | 0.9658 | 0.0 | 0.0 | 0.0 | 0.5 |
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### Framework versions
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model.safetensors
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training_args.bin
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