byt5-base-akkadian
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4077
- Chrf: 5.1853
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Chrf |
|---|---|---|---|---|
| 0.3301 | 1.0 | 351 | 0.4143 | 4.6952 |
| 0.2464 | 2.0 | 702 | 0.3996 | 5.0438 |
| 0.2077 | 3.0 | 1053 | 0.3967 | 5.1989 |
| 0.1488 | 4.0 | 1404 | 0.4077 | 5.1853 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.4.1
- Tokenizers 0.22.1
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