byt5-base-top_v2
This model is a fine-tuned version of google/byt5-base on the top_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0154
- Exact Match: 0.8533
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 64
- 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 |
|---|---|---|---|---|
| 0.3866 | 0.82 | 200 | 0.0434 | 0.0278 |
| 0.0335 | 1.65 | 400 | 0.0224 | 0.0396 |
| 0.0206 | 2.47 | 600 | 0.0184 | 0.0403 |
| 0.0162 | 3.29 | 800 | 0.0189 | 0.0409 |
| 0.0165 | 4.12 | 1000 | 0.0167 | 0.0410 |
| 0.0116 | 4.94 | 1200 | 0.0154 | 0.0413 |
| 0.0093 | 5.76 | 1400 | 0.0154 | 0.0415 |
| 0.008 | 6.58 | 1600 | 0.0161 | 0.0413 |
| 0.0071 | 7.41 | 1800 | 0.0167 | 0.0414 |
| 0.0064 | 8.23 | 2000 | 0.0171 | 0.0414 |
| 0.0055 | 9.05 | 2200 | 0.0168 | 0.0415 |
| 0.0046 | 9.88 | 2400 | 0.0177 | 0.0415 |
| 0.0039 | 10.7 | 2600 | 0.0183 | 0.0416 |
| 0.0034 | 11.52 | 2800 | 0.0190 | 0.0414 |
| 0.0029 | 12.35 | 3000 | 0.0192 | 0.0415 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.7.0
- Tokenizers 0.13.2