End of training
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README.md
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: emotion_classification_model
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results: []
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This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/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.
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- Accuracy: 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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### Framework versions
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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model-index:
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- name: emotion_classification_model
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results: []
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This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2954
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- Accuracy: 0.9079
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- F1: 0.9074
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.4771 | 1.0 | 1829 | 0.3789 | 0.8669 | 0.8650 |
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| 0.2378 | 2.0 | 3658 | 0.2954 | 0.9079 | 0.9074 |
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### Framework versions
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