tigrinya-human-model
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.2045
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.0394 | 0.1142 | 100 | 7.7904 |
| 7.6959 | 0.2284 | 200 | 7.6207 |
| 7.5973 | 0.3426 | 300 | 7.4871 |
| 7.4921 | 0.4568 | 400 | 7.3849 |
| 7.4058 | 0.5709 | 500 | 7.3094 |
| 7.2915 | 0.6851 | 600 | 7.1744 |
| 7.1601 | 0.7993 | 700 | 7.0875 |
| 7.0527 | 0.9135 | 800 | 6.9761 |
| 6.9395 | 1.0274 | 900 | 6.9111 |
| 6.8182 | 1.1416 | 1000 | 6.8366 |
| 6.7701 | 1.2558 | 1100 | 6.7599 |
| 6.7175 | 1.3700 | 1200 | 6.7156 |
| 6.6768 | 1.4842 | 1300 | 6.6487 |
| 6.6053 | 1.5983 | 1400 | 6.6034 |
| 6.5911 | 1.7125 | 1500 | 6.5556 |
| 6.5469 | 1.8267 | 1600 | 6.5132 |
| 6.4954 | 1.9409 | 1700 | 6.4833 |
| 6.2197 | 2.0548 | 1800 | 6.4587 |
| 6.2399 | 2.1690 | 1900 | 6.4149 |
| 6.1844 | 2.2832 | 2000 | 6.3713 |
| 6.1713 | 2.3974 | 2100 | 6.3447 |
| 6.1337 | 2.5116 | 2200 | 6.3205 |
| 6.0964 | 2.6257 | 2300 | 6.2838 |
| 6.1045 | 2.7399 | 2400 | 6.2665 |
| 6.0403 | 2.8541 | 2500 | 6.2431 |
| 6.0334 | 2.9683 | 2600 | 6.2070 |
| 5.6972 | 3.0822 | 2700 | 6.2313 |
| 5.7433 | 3.1964 | 2800 | 6.2223 |
| 5.6886 | 3.3106 | 2900 | 6.2213 |
| 5.7266 | 3.4248 | 3000 | 6.1778 |
| 5.6925 | 3.5390 | 3100 | 6.1677 |
| 5.7041 | 3.6532 | 3200 | 6.1701 |
| 5.7159 | 3.7673 | 3300 | 6.1559 |
| 5.6899 | 3.8815 | 3400 | 6.1493 |
| 5.7043 | 3.9957 | 3500 | 6.1856 |
| 5.6214 | 4.1096 | 3600 | 6.2702 |
| 5.7020 | 4.2238 | 3700 | 6.2724 |
| 5.6668 | 4.3380 | 3800 | 6.2092 |
| 5.7011 | 4.4522 | 3900 | 6.2258 |
| 5.7572 | 4.5664 | 4000 | 6.2257 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2