wiki_w_13
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.4155
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: 0.0001
- train_batch_size: 256
- eval_batch_size: 256
- seed: 13
- optimizer: Use 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_steps: 500
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.0427 | 1.0 | 400 | 6.1990 |
| 5.9607 | 2.0 | 800 | 5.8530 |
| 5.7343 | 3.0 | 1200 | 5.7160 |
| 5.6009 | 4.0 | 1600 | 5.6228 |
| 5.4929 | 5.0 | 2000 | 5.5485 |
| 5.3999 | 6.0 | 2400 | 5.4950 |
| 5.3184 | 7.0 | 2800 | 5.4552 |
| 5.2448 | 8.0 | 3200 | 5.4280 |
| 5.1772 | 9.0 | 3600 | 5.4057 |
| 5.1132 | 10.0 | 4000 | 5.3945 |
| 5.0533 | 11.0 | 4400 | 5.3867 |
| 4.9969 | 12.0 | 4800 | 5.3833 |
| 4.9436 | 13.0 | 5200 | 5.3847 |
| 4.8924 | 14.0 | 5600 | 5.3881 |
| 4.8472 | 15.0 | 6000 | 5.3915 |
| 4.8075 | 16.0 | 6400 | 5.3973 |
| 4.7734 | 17.0 | 6800 | 5.4026 |
| 4.7436 | 18.0 | 7200 | 5.4095 |
| 4.7198 | 19.0 | 7600 | 5.4129 |
| 4.7013 | 20.0 | 8000 | 5.4155 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
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