my_awesome_qa_model
This model is a fine-tuned version of StaAhmed/my_awesome_qa_model on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5192
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 17 | 1.9124 |
| No log | 2.0 | 34 | 1.7899 |
| No log | 3.0 | 51 | 1.7067 |
| No log | 4.0 | 68 | 1.6859 |
| No log | 5.0 | 85 | 1.6442 |
| No log | 6.0 | 102 | 1.6603 |
| No log | 7.0 | 119 | 1.5947 |
| No log | 8.0 | 136 | 1.5424 |
| No log | 9.0 | 153 | 1.5032 |
| No log | 10.0 | 170 | 1.5411 |
| No log | 11.0 | 187 | 1.5187 |
| No log | 12.0 | 204 | 1.5192 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2