roberta-base_IA3_lr5e-05_bs4_epoch20_wd0.01
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.8816
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 19.9021 | 1.0 | 157 | 21.8572 |
| 19.0595 | 2.0 | 314 | 20.8634 |
| 18.1837 | 3.0 | 471 | 18.9005 |
| 14.9492 | 4.0 | 628 | 15.5693 |
| 12.6827 | 5.0 | 785 | 11.7522 |
| 9.1129 | 6.0 | 942 | 8.7107 |
| 7.9692 | 7.0 | 1099 | 6.9363 |
| 6.5195 | 8.0 | 1256 | 6.1572 |
| 5.932 | 9.0 | 1413 | 5.7736 |
| 5.8208 | 10.0 | 1570 | 5.5329 |
| 5.5728 | 11.0 | 1727 | 5.3653 |
| 5.447 | 12.0 | 1884 | 5.2402 |
| 5.2935 | 13.0 | 2041 | 5.1424 |
| 5.243 | 14.0 | 2198 | 5.0646 |
| 5.143 | 15.0 | 2355 | 5.0053 |
| 5.0448 | 16.0 | 2512 | 4.9583 |
| 5.0317 | 17.0 | 2669 | 4.9230 |
| 5.0272 | 18.0 | 2826 | 4.8999 |
| 4.9883 | 19.0 | 2983 | 4.8863 |
| 4.9729 | 20.0 | 3140 | 4.8816 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0
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