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--- |
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datasets: |
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- seamew/ChnSentiCorp |
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language: |
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- zh |
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metrics: |
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- accuracy |
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- precision |
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- f1 |
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- recall |
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pipeline_tag: text-classification |
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--- |
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# hfl-rbt6-ChnSentiCorp-sentiment-classifier |
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This model is a fine-tuned version of [hfl/rbt6](https://huggingface.co/hfl/rbt6) on the [seamew/ChnSentiCorp](https://huggingface.co/datasets/seamew/ChnSentiCorp) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.294600 |
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- Accuracy: 0.933884 |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- weight_decay=1e-2 |
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- num_epochs: 3 |
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### Training results |
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| Epoch | Training Loss | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-----:|:-------------:|:---------------:|:--------:|:--------:|:---------:|:--------:| |
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| 1 | 0.359700 | 0.306089 | 0.924242 | 0.926230 | 0.918699 | 0.933884 | |
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| 2 | 0.200600 | 0.295512 | 0.942761 | 0.943615 | 0.946755 | 0.940496 | |
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| 3 | 0.105600 | 0.294600 | 0.933884 | 0.942452 | 0.951178 | 0.933884 | |
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### Framework versions |
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- Pytorch 2.0.0 |
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- Python 3.9.12 |
