1.8 KiB
1.8 KiB
library_name, tags, model-index
| library_name | tags | model-index | ||||||
|---|---|---|---|---|---|---|---|---|
| transformers |
|
|
por1-large
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8243
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.2377 | 1.0 | 199 | 4.7570 |
| 4.5775 | 2.0 | 398 | 4.4276 |
| 4.4104 | 3.0 | 597 | 4.2903 |
| 4.3513 | 4.0 | 796 | 4.1978 |
| 4.1994 | 5.0 | 995 | 4.1112 |
| 4.1218 | 6.0 | 1194 | 4.0284 |
| 4.0366 | 7.0 | 1393 | 3.9422 |
| 3.938 | 8.0 | 1592 | 3.8810 |
| 3.9293 | 9.0 | 1791 | 3.8417 |
| 3.8732 | 10.0 | 1990 | 3.8243 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.4.1+cu121
- Datasets 2.14.7
- Tokenizers 0.21.0