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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- emotion |
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metrics: |
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- accuracy |
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model-index: |
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- name: twitter-emotion-deberta-v3-base |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: emotion |
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type: emotion |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.937 |
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--- |
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# twitter-emotion-deberta-v3-base |
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This model is a fine-tuned version of [DeBERTa-v3](https://huggingface.co/microsoft/deberta-v3-base). It achieves the following results on the evaluation set: |
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- Loss: 0.1474 |
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- Accuracy: 0.937 |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 80 |
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- eval_batch_size: 80 |
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- lr_scheduler_type: linear |
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- num_epochs: 6.0 |
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### Framework versions |
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- Transformers 4.12.5 |
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- Pytorch 1.10.0+cu113 |
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- Datasets 1.15.1 |
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- Tokenizers 0.10.3 |
