N_roberta_sst5_padding80model
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5808
- Accuracy: 0.2308
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.5766 | 1.0 | 534 | 1.5965 | 0.2308 |
| 1.5738 | 2.0 | 1068 | 1.5814 | 0.2308 |
| 1.5746 | 3.0 | 1602 | 1.5872 | 0.2308 |
| 1.5693 | 4.0 | 2136 | 1.5791 | 0.2308 |
| 1.5735 | 5.0 | 2670 | 1.5786 | 0.2864 |
| 1.5731 | 6.0 | 3204 | 1.5841 | 0.2308 |
| 1.5713 | 7.0 | 3738 | 1.5772 | 0.2308 |
| 1.571 | 8.0 | 4272 | 1.5803 | 0.2308 |
| 1.5723 | 9.0 | 4806 | 1.5799 | 0.2308 |
| 1.5682 | 10.0 | 5340 | 1.5815 | 0.2308 |
| 1.5716 | 11.0 | 5874 | 1.5797 | 0.2308 |
| 1.5705 | 12.0 | 6408 | 1.5801 | 0.2864 |
| 1.5695 | 13.0 | 6942 | 1.5837 | 0.2308 |
| 1.5709 | 14.0 | 7476 | 1.5809 | 0.2308 |
| 1.5691 | 15.0 | 8010 | 1.5828 | 0.2308 |
| 1.57 | 16.0 | 8544 | 1.5824 | 0.2308 |
| 1.5688 | 17.0 | 9078 | 1.5814 | 0.2308 |
| 1.5707 | 18.0 | 9612 | 1.5809 | 0.2308 |
| 1.5685 | 19.0 | 10146 | 1.5809 | 0.2308 |
| 1.5691 | 20.0 | 10680 | 1.5808 | 0.2308 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3