---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_v2
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_v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6542

## 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: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.78          | 0.98  | 1000 | 1.6626          |
| 1.6148        | 1.96  | 2000 | 1.6441          |
| 1.5368        | 2.95  | 3000 | 1.6415          |
| 1.482         | 3.93  | 4000 | 1.6432          |
| 1.4387        | 4.91  | 5000 | 1.6466          |
| 1.408         | 5.89  | 6000 | 1.6512          |
| 1.3901        | 6.88  | 7000 | 1.6542          |


### Framework versions

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