sts_roberta-large_lr1e-05_wd1e-03_ep3_ckpt
This model is a fine-tuned version of klue/roberta-large on the klue dataset. It achieves the following results on the evaluation set:
- Loss: 0.4129
- Mse: 0.4129
- Mae: 0.4750
- R2: 0.8109
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: 1e-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 |
|---|---|---|---|---|---|---|
| 1.3435 | 1.0 | 183 | 0.3891 | 0.3891 | 0.4693 | 0.8218 |
| 0.1449 | 2.0 | 366 | 0.5301 | 0.5301 | 0.5456 | 0.7572 |
| 0.1059 | 3.0 | 549 | 0.4129 | 0.4129 | 0.4750 | 0.8109 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.0
- Tokenizers 0.13.3
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Base model
klue/roberta-large