byt5-akkadian-en-v1
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: 1.3532
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: 0.0005
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.06
- num_epochs: 10
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 25.1012 | 3.0774 | 200 | 1.4586 |
| 22.6369 | 6.1549 | 400 | 1.3779 |
| 21.7288 | 9.2323 | 600 | 1.3532 |
Framework versions
- Transformers 5.2.0
- Pytorch 2.6.0+cu124
- Datasets 4.6.1
- Tokenizers 0.22.2
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google/byt5-base