my_awesome_qa_model
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| No log | 1.0 | 250 | 1.5563 |
| 0.9807 | 2.0 | 500 | 1.5646 |
| 0.9807 | 3.0 | 750 | 1.6276 |
| 0.5574 | 4.0 | 1000 | 1.7258 |
| 0.5574 | 5.0 | 1250 | 1.8365 |
| 0.362 | 6.0 | 1500 | 1.8936 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
