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roberta-base-squad-finetuned-squad
This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.7060
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 17 | 5.9055 |
| No log | 2.0 | 34 | 6.2285 |
| No log | 3.0 | 51 | 6.8639 |
| No log | 4.0 | 68 | 6.3238 |
| No log | 5.0 | 85 | 7.0916 |
| No log | 6.0 | 102 | 6.7791 |
| No log | 7.0 | 119 | 6.8093 |
| No log | 8.0 | 136 | 6.7029 |
| No log | 9.0 | 153 | 6.7142 |
| No log | 10.0 | 170 | 6.7060 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.11.0+cu102
- Datasets 2.6.1
- Tokenizers 0.12.1
