deep_project_qa_model
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5897
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 250 | 2.2466 |
| 2.664 | 2.0 | 500 | 1.7650 |
| 2.664 | 3.0 | 750 | 1.5998 |
| 1.1831 | 4.0 | 1000 | 1.5617 |
| 1.1831 | 5.0 | 1250 | 1.5897 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1
- Tokenizers 0.11.0
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