roberta-mlm-model-v2.2
This model was trained from scratch on an unknown 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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 1000
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 7.9435 | 0.8315 | 10000 | 9.3792 |
| 7.9344 | 1.6631 | 20000 | 9.1627 |
| 7.9276 | 2.4946 | 30000 | 9.3861 |
| 7.9307 | 3.3261 | 40000 | 8.9926 |
| 7.9237 | 4.1577 | 50000 | 8.9530 |
| 7.9321 | 4.9892 | 60000 | 8.9440 |
Framework versions
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
