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xlm-roberta-base-Balance_Mixed-aug_replace
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: 1.1700
- Accuracy: 0.75
- F1: 0.7476
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
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.045 | 1.0 | 81 | 0.9285 | 0.59 | 0.4986 |
| 0.8637 | 2.0 | 162 | 0.7319 | 0.72 | 0.7025 |
| 0.6437 | 3.0 | 243 | 0.7081 | 0.74 | 0.7327 |
| 0.4385 | 4.0 | 324 | 0.6997 | 0.72 | 0.7237 |
| 0.331 | 5.0 | 405 | 0.9485 | 0.71 | 0.7129 |
| 0.2433 | 6.0 | 486 | 0.9924 | 0.73 | 0.7328 |
| 0.1657 | 7.0 | 567 | 1.1475 | 0.75 | 0.7473 |
| 0.1374 | 8.0 | 648 | 1.1700 | 0.75 | 0.7476 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
