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xlm-roberta-base-Balance_Mixed-aug_backtranslation
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4382
- Accuracy: 0.72
- F1: 0.7219
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.9831 | 1.0 | 174 | 0.9044 | 0.61 | 0.5474 |
| 0.7797 | 2.0 | 348 | 0.6469 | 0.73 | 0.7378 |
| 0.6314 | 3.0 | 522 | 0.6261 | 0.76 | 0.7619 |
| 0.4976 | 4.0 | 696 | 0.8230 | 0.72 | 0.7177 |
| 0.3719 | 5.0 | 870 | 1.0086 | 0.72 | 0.7223 |
| 0.2816 | 6.0 | 1044 | 1.3198 | 0.72 | 0.7208 |
| 0.2772 | 7.0 | 1218 | 1.3510 | 0.71 | 0.7099 |
| 0.2076 | 8.0 | 1392 | 1.4382 | 0.72 | 0.7219 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
