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QA_REAL_DATA_TEST_xlm_roberta-base
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: 1.5840
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: 2
- eval_batch_size: 2
- 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 |
|---|---|---|---|
| 1.5168 | 1.0 | 5389 | 1.4051 |
| 1.2226 | 2.0 | 10778 | 1.2093 |
| 1.231 | 3.0 | 16167 | 1.6216 |
| 1.1366 | 4.0 | 21556 | 1.4554 |
| 1.0987 | 5.0 | 26945 | 1.3135 |
| 1.0714 | 6.0 | 32334 | 1.2969 |
| 1.0679 | 7.0 | 37723 | 1.4351 |
| 1.0162 | 8.0 | 43112 | 1.6755 |
| 0.9498 | 9.0 | 48501 | 1.4848 |
| 0.8693 | 10.0 | 53890 | 1.5840 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
