byt5-small-top_v2
This model is a fine-tuned version of google/byt5-small on the top_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0164
- Exact Match: 0.8596
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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 3000
Training results
| Training Loss | Epoch | Step | Validation Loss | Exact Match |
|---|---|---|---|---|
| 0.3962 | 0.82 | 200 | 0.0976 | 0.0061 |
| 0.0548 | 1.65 | 400 | 0.0281 | 0.0367 |
| 0.0277 | 2.47 | 600 | 0.0210 | 0.0396 |
| 0.0205 | 3.29 | 800 | 0.0192 | 0.0406 |
| 0.0172 | 4.12 | 1000 | 0.0185 | 0.0412 |
| 0.0145 | 4.94 | 1200 | 0.0168 | 0.0414 |
| 0.0127 | 5.76 | 1400 | 0.0165 | 0.0414 |
| 0.0113 | 6.58 | 1600 | 0.0164 | 0.0416 |
| 0.0101 | 7.41 | 1800 | 0.0167 | 0.0413 |
| 0.009 | 8.23 | 2000 | 0.0169 | 0.0417 |
| 0.0082 | 9.05 | 2200 | 0.0164 | 0.0416 |
| 0.0073 | 9.88 | 2400 | 0.0169 | 0.0416 |
| 0.0066 | 10.7 | 2600 | 0.0171 | 0.0417 |
| 0.0061 | 11.52 | 2800 | 0.0171 | 0.0417 |
| 0.0058 | 12.35 | 3000 | 0.0170 | 0.0416 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.7.0
- Tokenizers 0.13.2