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fewshot-qa-002-20230613-003-exp2
This model is a fine-tuned version of deepset/xlm-roberta-base-squad2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.5860
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: 8
- eval_batch_size: 8
- 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 | 416 | 2.6201 |
| 2.8354 | 2.0 | 832 | 2.6606 |
| 1.9484 | 3.0 | 1248 | 2.8506 |
| 1.2915 | 4.0 | 1664 | 3.3361 |
| 0.8528 | 5.0 | 2080 | 3.8542 |
| 0.8528 | 6.0 | 2496 | 4.3293 |
| 0.5117 | 7.0 | 2912 | 4.5492 |
| 0.3264 | 8.0 | 3328 | 5.0932 |
| 0.226 | 9.0 | 3744 | 5.4944 |
| 0.1657 | 10.0 | 4160 | 5.5860 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
