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fewshot-qa-004-20230623-001
This model is a fine-tuned version of deepset/xlm-roberta-large-squad2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.3376
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 | 208 | 2.2499 |
| No log | 2.0 | 416 | 2.2725 |
| 1.8941 | 3.0 | 624 | 2.8161 |
| 1.8941 | 4.0 | 832 | 3.3206 |
| 0.5501 | 5.0 | 1040 | 4.0848 |
| 0.5501 | 6.0 | 1248 | 4.9156 |
| 0.5501 | 7.0 | 1456 | 5.0698 |
| 0.1763 | 8.0 | 1664 | 5.5852 |
| 0.1763 | 9.0 | 1872 | 5.9186 |
| 0.063 | 10.0 | 2080 | 6.3376 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
