---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
base_model: t5-base
model-index:
- name: t5-e2e-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-e2e-questions-generation

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5634

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 295  | 1.6673          |
| 1.9714        | 2.0   | 590  | 1.6021          |
| 1.9714        | 3.0   | 885  | 1.5820          |
| 1.6225        | 4.0   | 1180 | 1.5665          |
| 1.6225        | 5.0   | 1475 | 1.5643          |
| 1.5252        | 6.0   | 1770 | 1.5676          |
| 1.4558        | 7.0   | 2065 | 1.5581          |
| 1.4558        | 8.0   | 2360 | 1.5600          |
| 1.4169        | 9.0   | 2655 | 1.5604          |
| 1.4169        | 10.0  | 2950 | 1.5634          |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1