tuned_XLM_RLarge_after_big
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 1.9717 | 1.0 | 594 | 1.5020 |
| 1.4463 | 2.0 | 1188 | 1.1359 |
| 1.1579 | 3.0 | 1782 | 0.9597 |
| 0.9028 | 4.0 | 2376 | 0.9048 |
| 0.6887 | 5.0 | 2970 | 0.9037 |
| 0.3302 | 6.0 | 3564 | 0.9316 |
| 0.2495 | 7.0 | 4158 | 1.0809 |
| 0.1665 | 8.0 | 4752 | 1.1974 |
| 0.1223 | 9.0 | 5346 | 1.3164 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
