t5-base-end2end-questions-generation_eli_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: 2.3313
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 |
|---|---|---|---|
| 2.7426 | 0.26 | 100 | 2.4735 |
| 2.305 | 0.52 | 200 | 2.4169 |
| 2.2034 | 0.78 | 300 | 2.3887 |
| 2.1562 | 1.04 | 400 | 2.3710 |
| 2.0883 | 1.31 | 500 | 2.3574 |
| 2.07 | 1.57 | 600 | 2.3492 |
| 2.0595 | 1.83 | 700 | 2.3433 |
| 2.0337 | 2.09 | 800 | 2.3384 |
| 2.0012 | 2.35 | 900 | 2.3353 |
| 2.0175 | 2.61 | 1000 | 2.3320 |
| 2.0035 | 2.87 | 1100 | 2.3313 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3