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deberta-v2-base-japanese-finetuned-emotion
This model is a fine-tuned version of ku-nlp/deberta-v2-base-japanese on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0465
- Accuracy: 0.9921
- F1: 0.9921
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.0493 | 1.0 | 806 | 0.0273 | 0.9940 | 0.9940 |
| 0.0106 | 2.0 | 1612 | 0.0465 | 0.9921 | 0.9921 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.0+cu113
- Datasets 2.8.0
- Tokenizers 0.13.2
