roberta-base-prr200k-ep15-phrasebank-5k
This model is a fine-tuned version of judy93536/roberta-base-prr200k-ep15 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1366
- Accuracy: 0.9710
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: 5.49e-06
- train_batch_size: 8
- 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_ratio: 0.03
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4529 | 1.0 | 500 | 0.1704 | 0.9499 |
| 0.1271 | 2.0 | 1000 | 0.1411 | 0.9670 |
| 0.0772 | 3.0 | 1500 | 0.1366 | 0.9710 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3