Randomized_Roberta_Stacked_model_100
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9215
- F1: 0.7510
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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.5471 | 1.0 | 1576 | 0.7615 | 0.7470 |
| 0.4776 | 2.0 | 3152 | 0.8017 | 0.7475 |
| 0.4168 | 3.0 | 4728 | 0.8304 | 0.7495 |
| 0.3774 | 4.0 | 6304 | 0.9005 | 0.7514 |
| 0.3514 | 5.0 | 7880 | 0.9215 | 0.7510 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1