t5-base-end2end-questions-generation_eli_aug_squad
This model is a fine-tuned version of t5-base on the eli5_cleaned_datav3_60k dataset. It achieves the following results on the evaluation set:
- Loss: 2.3334
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 |
|---|---|---|---|
| 2.7135 | 0.26 | 100 | 2.4710 |
| 2.2744 | 0.51 | 200 | 2.4154 |
| 2.1936 | 0.77 | 300 | 2.3894 |
| 2.1313 | 1.03 | 400 | 2.3738 |
| 2.0684 | 1.28 | 500 | 2.3643 |
| 2.0603 | 1.54 | 600 | 2.3511 |
| 2.0437 | 1.8 | 700 | 2.3461 |
| 2.0114 | 2.06 | 800 | 2.3412 |
| 1.9976 | 2.31 | 900 | 2.3381 |
| 1.9883 | 2.57 | 1000 | 2.3349 |
| 1.9869 | 2.83 | 1100 | 2.3334 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3