<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
finetuned_roberta-base-on-IEMOCAP_1
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: 1.4703
- Accuracy: 0.6544
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 |
|---|---|---|---|---|
| 0.9508 | 1.0 | 112 | 0.8843 | 0.6525 |
| 0.7124 | 2.0 | 224 | 0.8126 | 0.6962 |
| 0.5481 | 3.0 | 336 | 0.8110 | 0.7175 |
| 0.4536 | 4.0 | 448 | 0.8892 | 0.7074 |
| 0.3289 | 5.0 | 560 | 0.9808 | 0.7085 |
| 0.2593 | 6.0 | 672 | 1.0769 | 0.7018 |
| 0.2304 | 7.0 | 784 | 1.0492 | 0.7220 |
| 0.1265 | 8.0 | 896 | 1.1246 | 0.7141 |
| 0.1482 | 9.0 | 1008 | 1.1653 | 0.7231 |
| 0.1523 | 10.0 | 1120 | 1.2254 | 0.7164 |
| 0.1337 | 11.0 | 1232 | 1.2533 | 0.7108 |
| 0.1167 | 12.0 | 1344 | 1.3048 | 0.7197 |
| 0.131 | 13.0 | 1456 | 1.3351 | 0.7152 |
| 0.1413 | 14.0 | 1568 | 1.3441 | 0.7175 |
| 0.1099 | 15.0 | 1680 | 1.3463 | 0.7164 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
