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finetuned_roberta-base-on-IEMOCAP_4
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-emotion on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5143
- Accuracy: 0.6867
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8876 | 1.0 | 113 | 0.9530 | 0.6341 |
| 0.7153 | 2.0 | 226 | 0.8473 | 0.6807 |
| 0.5127 | 3.0 | 339 | 0.8841 | 0.6907 |
| 0.3844 | 4.0 | 452 | 0.9751 | 0.7062 |
| 0.3104 | 5.0 | 565 | 0.9363 | 0.7029 |
| 0.2374 | 6.0 | 678 | 1.1047 | 0.6896 |
| 0.2128 | 7.0 | 791 | 1.1239 | 0.7040 |
| 0.2104 | 8.0 | 904 | 1.1717 | 0.7129 |
| 0.1896 | 9.0 | 1017 | 1.1580 | 0.6973 |
| 0.1211 | 10.0 | 1130 | 1.2320 | 0.7029 |
| 0.1737 | 11.0 | 1243 | 1.3389 | 0.6973 |
| 0.1022 | 12.0 | 1356 | 1.3537 | 0.7062 |
| 0.0934 | 13.0 | 1469 | 1.3742 | 0.7140 |
| 0.0987 | 14.0 | 1582 | 1.4039 | 0.7151 |
| 0.1065 | 15.0 | 1695 | 1.4150 | 0.7173 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
