xlm-roberta-base-finetuned-newqa1
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: 2.2643
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 |
|---|---|---|---|
| No log | 1.0 | 66 | 2.8604 |
| No log | 2.0 | 132 | 2.3332 |
| No log | 3.0 | 198 | 2.1159 |
| No log | 4.0 | 264 | 2.1174 |
| No log | 5.0 | 330 | 2.0671 |
| No log | 6.0 | 396 | 2.1269 |
| No log | 7.0 | 462 | 2.2361 |
| 2.2514 | 8.0 | 528 | 2.2171 |
| 2.2514 | 9.0 | 594 | 2.2304 |
| 2.2514 | 10.0 | 660 | 2.2643 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3