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finetuned_roberta-base-on-IEMOCAP_5
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: 1.5796
- Accuracy: 0.6833
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 |
|---|---|---|---|---|
| 0.9167 | 1.0 | 108 | 0.9034 | 0.6477 |
| 0.7123 | 2.0 | 216 | 0.8683 | 0.6860 |
| 0.5267 | 3.0 | 324 | 0.8770 | 0.6953 |
| 0.387 | 4.0 | 432 | 0.9405 | 0.6965 |
| 0.3795 | 5.0 | 540 | 1.0109 | 0.7070 |
| 0.2305 | 6.0 | 648 | 1.0698 | 0.6977 |
| 0.1937 | 7.0 | 756 | 1.1674 | 0.7093 |
| 0.1661 | 8.0 | 864 | 1.2279 | 0.6907 |
| 0.2069 | 9.0 | 972 | 1.2690 | 0.7105 |
| 0.1453 | 10.0 | 1080 | 1.3482 | 0.6977 |
| 0.1251 | 11.0 | 1188 | 1.3402 | 0.7105 |
| 0.1433 | 12.0 | 1296 | 1.3726 | 0.7023 |
| 0.1243 | 13.0 | 1404 | 1.4308 | 0.7012 |
| 0.1295 | 14.0 | 1512 | 1.4511 | 0.7116 |
| 0.1235 | 15.0 | 1620 | 1.4420 | 0.7070 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
