wiki_w_30
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.4160
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: 30
- 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 |
|---|---|---|---|
| 7.0487 | 1.0 | 400 | 6.1961 |
| 5.9579 | 2.0 | 800 | 5.8509 |
| 5.7329 | 3.0 | 1200 | 5.7164 |
| 5.6001 | 4.0 | 1600 | 5.6209 |
| 5.4926 | 5.0 | 2000 | 5.5505 |
| 5.4002 | 6.0 | 2400 | 5.4954 |
| 5.3184 | 7.0 | 2800 | 5.4550 |
| 5.2446 | 8.0 | 3200 | 5.4271 |
| 5.1766 | 9.0 | 3600 | 5.4064 |
| 5.1131 | 10.0 | 4000 | 5.3941 |
| 5.0524 | 11.0 | 4400 | 5.3854 |
| 4.9961 | 12.0 | 4800 | 5.3821 |
| 4.9422 | 13.0 | 5200 | 5.3864 |
| 4.891 | 14.0 | 5600 | 5.3879 |
| 4.8459 | 15.0 | 6000 | 5.3910 |
| 4.8059 | 16.0 | 6400 | 5.3987 |
| 4.7713 | 17.0 | 6800 | 5.4039 |
| 4.7416 | 18.0 | 7200 | 5.4100 |
| 4.7178 | 19.0 | 7600 | 5.4134 |
| 4.6991 | 20.0 | 8000 | 5.4160 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0