---
license: apache-2.0
tags:
- generated_from_trainer
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
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# t5-end2end-questions-generation

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the squad-v1 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5835

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3236        | 0.95  | 100  | 1.6878          |
| 1.5359        | 1.91  | 200  | 1.6104          |
| 1.5523        | 2.86  | 300  | 1.5967          |
| 1.5121        | 3.82  | 400  | 1.5945          |
| 1.4837        | 4.77  | 500  | 1.5844          |
| 1.4688        | 5.72  | 600  | 1.5872          |
| 1.4392        | 6.68  | 700  | 1.5874          |
| 1.4257        | 7.63  | 800  | 1.5849          |
| 1.4161        | 8.59  | 900  | 1.5833          |
| 1.413         | 9.54  | 1000 | 1.5835          |


### Framework versions

- Transformers 4.29.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3