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roberta_fine_tuned_qa_model
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0295
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|
| 1.2458 | 1.0 | 1000 | 1.1327 |
| 0.753 | 2.0 | 2000 | 1.2129 |
| 0.479 | 3.0 | 3000 | 1.4913 |
| 0.3606 | 4.0 | 4000 | 1.7434 |
| 0.231 | 5.0 | 5000 | 2.0295 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
