t5-small-qg
This model is a fine-tuned version of t5-small on the the_squad_qg dataset. It achieves the following results on the evaluation set:
- Loss: 2.1544
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3644 | 2.71 | 100 | 2.3436 |
| 2.4504 | 5.42 | 200 | 2.2140 |
| 2.3501 | 8.14 | 300 | 2.1544 |
Framework versions
- Transformers 4.27.3
- Pytorch 2.0.0
- Datasets 2.10.1
- Tokenizers 0.11.0