distilroberta-base-finetuned-emotion
This model is a fine-tuned version of distilbert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3438
- Accuracy: 0.9004
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.615 | 1.0 | 748 | 0.2832 | 0.9004 |
| 0.2716 | 2.0 | 1496 | 0.2632 | 0.9044 |
| 0.1929 | 3.0 | 2244 | 0.3124 | 0.9071 |
| 0.1559 | 4.0 | 2992 | 0.3258 | 0.8971 |
| 0.1185 | 5.0 | 3740 | 0.3438 | 0.9004 |
Framework versions
- Transformers 4.27.2
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2