xlm-roberta-checkpoints
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6431
- Accuracy: 0.7281
- F1: 0.7264
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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Accuracy | F1 | Validation Loss |
|---|
| No log | 1.0 | 668 | 0.7247 | 0.7243 | 0.6418 |
| No log | 2.0 | 1336 | 0.7322 | 0.7316 | 0.6273 |
| No log | 3.0 | 2004 | 0.6431 | 0.7281 | 0.7264 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
