|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- squad_modified_for_t5_qg |
|
model-index: |
|
- name: t5-end2end-questions-generation |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# t5-end2end-questions-generation |
|
|
|
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the squad_modified_for_t5_qg dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.5789 |
|
|
|
## 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: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 2.5879 | 0.34 | 100 | 1.9133 | |
|
| 1.9688 | 0.68 | 200 | 1.7313 | |
|
| 1.8513 | 1.02 | 300 | 1.6691 | |
|
| 1.7459 | 1.36 | 400 | 1.6413 | |
|
| 1.7206 | 1.69 | 500 | 1.6200 | |
|
| 1.7026 | 2.03 | 600 | 1.6101 | |
|
| 1.6447 | 2.37 | 700 | 1.5983 | |
|
| 1.6402 | 2.71 | 800 | 1.5979 | |
|
| 1.6332 | 3.05 | 900 | 1.5924 | |
|
| 1.5953 | 3.39 | 1000 | 1.5877 | |
|
| 1.5922 | 3.73 | 1100 | 1.5854 | |
|
| 1.5832 | 4.07 | 1200 | 1.5830 | |
|
| 1.5726 | 4.41 | 1300 | 1.5799 | |
|
| 1.5587 | 4.75 | 1400 | 1.5789 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.20.1 |
|
- Pytorch 1.11.0+cu113 |
|
- Datasets 2.3.2 |
|
- Tokenizers 0.12.1 |
|
|