---
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: 1.5665

## 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5889        | 0.34  | 100  | 1.9101          |
| 1.9627        | 0.68  | 200  | 1.7224          |
| 1.8415        | 1.02  | 300  | 1.6637          |
| 1.7416        | 1.35  | 400  | 1.6346          |
| 1.712         | 1.69  | 500  | 1.6162          |
| 1.6879        | 2.03  | 600  | 1.6081          |
| 1.6291        | 2.37  | 700  | 1.5917          |
| 1.6246        | 2.71  | 800  | 1.5865          |
| 1.6081        | 3.05  | 900  | 1.5860          |
| 1.5659        | 3.39  | 1000 | 1.5815          |
| 1.5612        | 3.73  | 1100 | 1.5665          |
| 1.5452        | 4.06  | 1200 | 1.5770          |
| 1.5264        | 4.4   | 1300 | 1.5809          |
| 1.5154        | 4.74  | 1400 | 1.5650          |
| 1.5079        | 5.08  | 1500 | 1.5733          |
| 1.484         | 5.42  | 1600 | 1.5690          |
| 1.4708        | 5.76  | 1700 | 1.5707          |
| 1.4857        | 6.1   | 1800 | 1.5645          |
| 1.4568        | 6.44  | 1900 | 1.5677          |
| 1.4597        | 6.77  | 2000 | 1.5643          |
| 1.4666        | 7.11  | 2100 | 1.5670          |
| 1.4495        | 7.45  | 2200 | 1.5620          |
| 1.4387        | 7.79  | 2300 | 1.5665          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3