t5-small-end2end-questions-generation_squad_eli_exp_imp
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5195
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: 32
- total_train_batch_size: 128
- 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 |
|---|---|---|---|
| 3.761 | 0.25 | 100 | 2.9144 |
| 2.899 | 0.49 | 200 | 2.7900 |
| 2.8197 | 0.74 | 300 | 2.7126 |
| 2.7398 | 0.98 | 400 | 2.6565 |
| 2.6601 | 1.23 | 500 | 2.6167 |
| 2.6415 | 1.47 | 600 | 2.5833 |
| 2.615 | 1.72 | 700 | 2.5593 |
| 2.5964 | 1.96 | 800 | 2.5454 |
| 2.5687 | 2.21 | 900 | 2.5322 |
| 2.5625 | 2.46 | 1000 | 2.5259 |
| 2.5559 | 2.7 | 1100 | 2.5204 |
| 2.5527 | 2.95 | 1200 | 2.5195 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3