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commitRoBertaWhy
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7709
- Accuracy: 0.7818
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: 5e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 483 | 0.4784 | 0.7515 |
| 0.5809 | 2.0 | 966 | 0.7377 | 0.7636 |
| 0.5228 | 3.0 | 1449 | 0.9487 | 0.7879 |
| 0.5178 | 4.0 | 1932 | 0.7810 | 0.8061 |
| 0.4931 | 5.0 | 2415 | 0.8674 | 0.8182 |
| 0.4562 | 6.0 | 2898 | 0.8308 | 0.8121 |
| 0.4585 | 7.0 | 3381 | 1.2448 | 0.7818 |
| 0.3061 | 8.0 | 3864 | 1.0845 | 0.8061 |
| 0.3341 | 9.0 | 4347 | 1.1429 | 0.7879 |
| 0.288 | 10.0 | 4830 | 1.0559 | 0.8242 |
| 0.2673 | 11.0 | 5313 | 1.2845 | 0.8 |
| 0.1954 | 12.0 | 5796 | 1.4496 | 0.8 |
| 0.227 | 13.0 | 6279 | 1.3763 | 0.8 |
| 0.1761 | 14.0 | 6762 | 1.4341 | 0.8061 |
| 0.2154 | 15.0 | 7245 | 1.3411 | 0.8061 |
| 0.1736 | 16.0 | 7728 | 1.4826 | 0.7879 |
| 0.0983 | 17.0 | 8211 | 1.7190 | 0.7818 |
| 0.1382 | 18.0 | 8694 | 1.5242 | 0.8 |
| 0.1262 | 19.0 | 9177 | 1.6978 | 0.7879 |
| 0.0962 | 20.0 | 9660 | 1.7709 | 0.7818 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
