---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_modified_for_t5_qg
model-index:
- name: t5-end2end-questions-generation_V1
  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_V1

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: 1.5671

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.787         | 0.34  | 100  | 1.7580          |
| 1.8565        | 0.68  | 200  | 1.6773          |
| 1.7969        | 1.02  | 300  | 1.6396          |
| 1.6961        | 1.35  | 400  | 1.6202          |
| 1.6777        | 1.69  | 500  | 1.6101          |
| 1.6584        | 2.03  | 600  | 1.5956          |
| 1.6032        | 2.37  | 700  | 1.5908          |
| 1.5995        | 2.71  | 800  | 1.5870          |
| 1.5876        | 3.05  | 900  | 1.5834          |
| 1.5467        | 3.39  | 1000 | 1.5820          |
| 1.5486        | 3.73  | 1100 | 1.5696          |
| 1.5313        | 4.06  | 1200 | 1.5761          |
| 1.514         | 4.4   | 1300 | 1.5713          |
| 1.5024        | 4.74  | 1400 | 1.5727          |
| 1.4984        | 5.08  | 1500 | 1.5722          |
| 1.4769        | 5.42  | 1600 | 1.5700          |
| 1.4652        | 5.76  | 1700 | 1.5670          |
| 1.4835        | 6.1   | 1800 | 1.5684          |
| 1.4589        | 6.44  | 1900 | 1.5711          |
| 1.459         | 6.77  | 2000 | 1.5671          |


### Framework versions

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