---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-base-end2end-questions-generation_squad_aug
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-base-end2end-questions-generation_squad_aug

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0874

## 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: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9281        | 0.25  | 100  | 3.0443          |
| 1.7378        | 0.5   | 200  | 3.0395          |
| 1.6719        | 0.76  | 300  | 3.0509          |
| 1.6495        | 1.01  | 400  | 3.0564          |
| 1.572         | 1.26  | 500  | 3.0780          |
| 1.5609        | 1.51  | 600  | 3.0569          |
| 1.5684        | 1.76  | 700  | 3.0696          |
| 1.5579        | 2.01  | 800  | 3.0729          |
| 1.5017        | 2.27  | 900  | 3.0898          |
| 1.5079        | 2.52  | 1000 | 3.0879          |
| 1.503         | 2.77  | 1100 | 3.0874          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3