my_awesome_qa_model
This model is a fine-tuned version of mrm8488/bert-multi-cased-finetuned-xquadv1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1879
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 375 | 1.0704 |
| 1.1969 | 2.0 | 750 | 1.0312 |
| 0.6012 | 3.0 | 1125 | 1.1879 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1