sts_ys7yoo_nli_klue_roberta_large_ep3_ep3
This model is a fine-tuned version of ys7yoo/nli_klue_roberta_large_ep3 on the klue dataset. It achieves the following results on the evaluation set:
- Loss: 0.3620
- Mse: 0.3620
- Mae: 0.4394
- R2: 0.8342
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Mae | R2 |
|---|---|---|---|---|---|---|
| 0.7387 | 1.0 | 183 | 0.4770 | 0.4770 | 0.5116 | 0.7816 |
| 0.1403 | 2.0 | 366 | 0.4354 | 0.4354 | 0.4977 | 0.8006 |
| 0.0796 | 3.0 | 549 | 0.3620 | 0.3620 | 0.4394 | 0.8342 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu117
- Datasets 2.13.0
- Tokenizers 0.13.3