t5-e2e-questions-generation
This model is a fine-tuned version of t5-base on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.5634
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- 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 | 295 | 1.6673 |
| 1.9714 | 2.0 | 590 | 1.6021 |
| 1.9714 | 3.0 | 885 | 1.5820 |
| 1.6225 | 4.0 | 1180 | 1.5665 |
| 1.6225 | 5.0 | 1475 | 1.5643 |
| 1.5252 | 6.0 | 1770 | 1.5676 |
| 1.4558 | 7.0 | 2065 | 1.5581 |
| 1.4558 | 8.0 | 2360 | 1.5600 |
| 1.4169 | 9.0 | 2655 | 1.5604 |
| 1.4169 | 10.0 | 2950 | 1.5634 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
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Base model
google-t5/t5-base