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byt5-small-wikipron-eng-latn
This model is a fine-tuned version of google/byt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1898
- Per: 0.3272
- Gen Len: 16.4158
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: 0.0002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Per | Gen Len |
|---|---|---|---|---|---|
| 2.2564 | 1.0 | 230 | 0.4016 | 0.5235 | 15.7351 |
| 0.3856 | 2.0 | 461 | 0.2648 | 0.4189 | 16.3283 |
| 0.2861 | 3.0 | 692 | 0.2248 | 0.3665 | 16.3982 |
| 0.2438 | 4.0 | 923 | 0.2090 | 0.3452 | 16.3591 |
| 0.2207 | 5.0 | 1153 | 0.2015 | 0.3403 | 16.3944 |
| 0.2049 | 6.0 | 1384 | 0.1952 | 0.3342 | 16.4001 |
| 0.193 | 7.0 | 1615 | 0.1908 | 0.3306 | 16.4006 |
| 0.185 | 8.0 | 1846 | 0.1883 | 0.3271 | 16.408 |
| 0.18 | 9.0 | 2076 | 0.1894 | 0.3276 | 16.4194 |
| 0.1751 | 9.97 | 2300 | 0.1898 | 0.3272 | 16.4158 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
