Downloads · 30 days
6
2% of all-time downloads
byt5-akkadian-base-norm
jaycentg/byt5-akkadian-base-norm
byt5-akkadian-base-norm is a machine learning model from jaycentg. 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
288
Public
Parameters
582M
23.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors4.7 GB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Mar 6, 2026
- Updated
- Mar 6, 2026
- SHA
- 0042d483
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-akkadian-base-norm
This model is a fine-tuned version of google/byt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9585
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 4
- 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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.6506 | 0.3199 | 500 | 4.5375 |
| 2.7296 | 0.6398 | 1000 | 2.4437 |
| 2.47 | 0.9598 | 1500 | 2.2459 |
| 2.3094 | 1.2796 | 2000 | 2.1549 |
| 2.2301 | 1.5995 | 2500 | 2.0952 |
| 2.1091 | 1.9195 | 3000 | 2.0500 |
| 2.1452 | 2.2393 | 3500 | 2.0149 |
| 2.0673 | 2.5592 | 4000 | 1.9775 |
| 2.0539 | 2.8791 | 4500 | 1.9585 |
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
- Mar 6, 2026
- Updated
- Mar 6, 2026