t5-base-end2end-questions-generation_eli_squad_aug_exp_pcsq
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2180
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 |
|---|---|---|---|
| 2.4142 | 0.25 | 100 | 2.3057 |
| 2.2423 | 0.5 | 200 | 2.2645 |
| 2.2185 | 0.74 | 300 | 2.2468 |
| 2.1907 | 0.99 | 400 | 2.2308 |
| 2.1141 | 1.24 | 500 | 2.2342 |
| 2.083 | 1.49 | 600 | 2.2288 |
| 2.0817 | 1.74 | 700 | 2.2220 |
| 2.0841 | 1.99 | 800 | 2.2227 |
| 2.0358 | 2.23 | 900 | 2.2210 |
| 2.0356 | 2.48 | 1000 | 2.2181 |
| 2.0241 | 2.73 | 1100 | 2.2199 |
| 2.0307 | 2.98 | 1200 | 2.2180 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3