Downloads · 30 days
11
19% of all-time downloads
byt5-translation-model
BraydenF/byt5-translation-model
byt5-translation-model is a machine learning model from BraydenF. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
58
Public
Parameters
582M
4.7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.3 GB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Feb 17, 2026
- Updated
- Feb 18, 2026
- SHA
- 0a5fdd0f
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
byt5-translation-model
This model is a fine-tuned version of google/byt5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3816
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 60
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0026 | 6.8182 | 1200 | 0.7811 |
| 0.7206 | 13.6364 | 2400 | 0.5618 |
| 0.6075 | 20.4545 | 3600 | 0.4895 |
| 0.5543 | 27.2727 | 4800 | 0.4482 |
| 0.5113 | 34.0909 | 6000 | 0.4200 |
| 0.4924 | 40.9091 | 7200 | 0.3995 |
| 0.4676 | 47.7273 | 8400 | 0.3878 |
| 0.4692 | 54.5455 | 9600 | 0.3816 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Feb 17, 2026
- Updated
- Feb 18, 2026