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multi-finetuned-squad
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9112
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5281 | 1.0 | 7275 | 1.9342 |
| 2.4622 | 2.0 | 14550 | 1.8998 |
| 2.4195 | 3.0 | 21825 | 1.9112 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3