---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_modified_for_t5_qg
- wiselinjayajos/squad_modified_for_t5_qg
model-index:
- name: t5-end2end-questions-generation
  results: []
metrics:
- bleu
- meteor
- rouge
---

<!-- 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: 1.5678

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.584         | 0.34  | 100  | 1.9108          |
| 1.9664        | 0.68  | 200  | 1.7275          |
| 1.842         | 1.02  | 300  | 1.6641          |
| 1.7417        | 1.35  | 400  | 1.6368          |
| 1.713         | 1.69  | 500  | 1.6219          |
| 1.6899        | 2.03  | 600  | 1.6046          |
| 1.6302        | 2.37  | 700  | 1.5961          |
| 1.6259        | 2.71  | 800  | 1.5946          |
| 1.6107        | 3.05  | 900  | 1.5879          |
| 1.5689        | 3.39  | 1000 | 1.5865          |
| 1.5688        | 3.73  | 1100 | 1.5722          |
| 1.5519        | 4.06  | 1200 | 1.5792          |
| 1.5343        | 4.4   | 1300 | 1.5737          |
| 1.5214        | 4.74  | 1400 | 1.5745          |
| 1.5169        | 5.08  | 1500 | 1.5736          |
| 1.4954        | 5.42  | 1600 | 1.5730          |
| 1.4827        | 5.76  | 1700 | 1.5680          |
| 1.5015        | 6.1   | 1800 | 1.5701          |
| 1.4769        | 6.44  | 1900 | 1.5732          |
| 1.4765        | 6.77  | 2000 | 1.5678          |


### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2