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sts_ys7yoo_nli_klue_roberta_large_ep5_ep5
This model is a fine-tuned version of ys7yoo/nli_klue_roberta_large_ep5 on the klue dataset. It achieves the following results on the evaluation set:
- Loss: 0.3389
- Mse: 0.3389
- Mae: 0.4252
- R2: 0.8448
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Mae | R2 |
|---|---|---|---|---|---|---|
| 0.838 | 1.0 | 183 | 0.6427 | 0.6427 | 0.6072 | 0.7057 |
| 0.1578 | 2.0 | 366 | 0.3120 | 0.3120 | 0.4220 | 0.8571 |
| 0.1013 | 3.0 | 549 | 0.4612 | 0.4612 | 0.5016 | 0.7888 |
| 0.0676 | 4.0 | 732 | 0.2982 | 0.2982 | 0.3974 | 0.8635 |
| 0.0436 | 5.0 | 915 | 0.3389 | 0.3389 | 0.4252 | 0.8448 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu117
- Datasets 2.13.0
- Tokenizers 0.13.3
