---
license: apache-2.0
base_model: ThomasSimonini/t5-end2end-question-generation
tags:
- generated_from_trainer
model-index:
- name: t52
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t52

This model is a fine-tuned version of [ThomasSimonini/t5-end2end-question-generation](https://huggingface.co/ThomasSimonini/t5-end2end-question-generation) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6944

## 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: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.2217        | 0.65  | 100  | 2.9125          |
| 2.9732        | 1.3   | 200  | 2.8349          |
| 2.8996        | 1.95  | 300  | 2.7879          |
| 2.8009        | 2.59  | 400  | 2.7614          |
| 2.7532        | 3.24  | 500  | 2.7406          |
| 2.6964        | 3.89  | 600  | 2.7208          |
| 2.6462        | 4.54  | 700  | 2.7153          |
| 2.6265        | 5.19  | 800  | 2.7037          |
| 2.6089        | 5.84  | 900  | 2.6968          |
| 2.5522        | 6.49  | 1000 | 2.6944          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3