<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
xlm-roberta-base-Mixed-delete
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: 1.6994
- Accuracy: 0.7852
- F1: 0.7857
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.221 | 1.0 | 321 | 1.0439 | 0.7897 | 0.7970 |
| 0.1714 | 2.0 | 642 | 1.1443 | 0.7867 | 0.7795 |
| 0.1252 | 3.0 | 963 | 1.1800 | 0.8079 | 0.8089 |
| 0.1066 | 4.0 | 1284 | 1.3241 | 0.7973 | 0.7987 |
| 0.0817 | 5.0 | 1605 | 1.5002 | 0.7912 | 0.7937 |
| 0.0692 | 6.0 | 1926 | 1.4525 | 0.8033 | 0.8044 |
| 0.0529 | 7.0 | 2247 | 1.5662 | 0.7988 | 0.8000 |
| 0.0505 | 8.0 | 2568 | 1.6376 | 0.7958 | 0.7968 |
| 0.0341 | 9.0 | 2889 | 1.6486 | 0.7988 | 0.7989 |
| 0.0367 | 10.0 | 3210 | 1.6994 | 0.7852 | 0.7857 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
