finetuned_roberta_large_custom
This model is a fine-tuned version of deepset/roberta-large-squad2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5061
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.082 | 1.0 | 600 | 1.7062 |
| 1.6404 | 2.0 | 1200 | 2.7324 |
| 1.3663 | 3.0 | 1800 | 2.0644 |
| 0.8431 | 4.0 | 2400 | 2.3039 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1
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