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my_awesome_qa_model
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.0715
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 37 | 4.1103 |
| No log | 2.0 | 74 | 3.9785 |
| No log | 3.0 | 111 | 3.8233 |
| No log | 4.0 | 148 | 3.7477 |
| No log | 5.0 | 185 | 3.8200 |
| No log | 6.0 | 222 | 3.8821 |
| No log | 7.0 | 259 | 3.9189 |
| No log | 8.0 | 296 | 4.0071 |
| No log | 9.0 | 333 | 4.0935 |
| No log | 10.0 | 370 | 4.0715 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2
