byt5-small-wikipron-eng-latn-us-broad-p2g
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: 0.2595
- Per: 0.4628
- Gen Len: 8.4996
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: 128
- eval_batch_size: 32
- 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: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Per | Gen Len |
|---|---|---|---|---|---|
| 2.4797 | 1.0 | 382 | 0.4371 | 0.6951 | 8.4302 |
| 0.4823 | 2.0 | 764 | 0.3543 | 0.5974 | 8.4338 |
| 0.3878 | 3.0 | 1146 | 0.3081 | 0.545 | 8.4394 |
| 0.3378 | 4.0 | 1528 | 0.2904 | 0.518 | 8.449 |
| 0.3061 | 5.0 | 1910 | 0.2736 | 0.5004 | 8.4612 |
| 0.2823 | 6.0 | 2292 | 0.2664 | 0.4893 | 8.4734 |
| 0.265 | 7.0 | 2674 | 0.2626 | 0.4747 | 8.4721 |
| 0.2502 | 8.0 | 3056 | 0.2612 | 0.4697 | 8.4945 |
| 0.2388 | 9.0 | 3438 | 0.2592 | 0.4633 | 8.489 |
| 0.231 | 10.0 | 3820 | 0.2595 | 0.4628 | 8.4996 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.11.1.dev0
- Tokenizers 0.13.2