metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_modified_for_t5_qg
model-index:
- name: t5-end2end-questions-generation
results: []
t5-end2end-questions-generation
This model is a fine-tuned version of t5-base on the squad_modified_for_t5_qg dataset. It achieves the following results on the evaluation set:
- Loss: 1.5679
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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5866 | 0.34 | 100 | 1.9116 |
| 1.9674 | 0.68 | 200 | 1.7280 |
| 1.8487 | 1.02 | 300 | 1.6650 |
| 1.7429 | 1.36 | 400 | 1.6400 |
| 1.7148 | 1.69 | 500 | 1.6214 |
| 1.695 | 2.03 | 600 | 1.6076 |
| 1.6321 | 2.37 | 700 | 1.5979 |
| 1.6276 | 2.71 | 800 | 1.5910 |
| 1.6171 | 3.05 | 900 | 1.5875 |
| 1.5712 | 3.39 | 1000 | 1.5898 |
| 1.5702 | 3.73 | 1100 | 1.5749 |
| 1.5594 | 4.07 | 1200 | 1.5798 |
| 1.5352 | 4.41 | 1300 | 1.5733 |
| 1.5228 | 4.75 | 1400 | 1.5733 |
| 1.524 | 5.08 | 1500 | 1.5727 |
| 1.4954 | 5.42 | 1600 | 1.5699 |
| 1.4866 | 5.76 | 1700 | 1.5696 |
| 1.5089 | 6.1 | 1800 | 1.5696 |
| 1.4771 | 6.44 | 1900 | 1.5736 |
| 1.4772 | 6.78 | 2000 | 1.5679 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1