---
license: apache-2.0
tags:
- generated_from_trainer
pipeline_tag: text2text-generation
inference:
  parameters:
    max_length: 256
    num_beams: 4
    length_penalty: 1.5
    no_repeat_ngram_size: 3
    early_stopping: true
base_model: Michelvh/flan-t5-end2end-question-generation
model-index:
- name: flan-t5-end2end-question-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. -->

# flan-t5-end2end-question-generation

This model is a fine-tuned version of [Michelvh/flan-t5-end2end-question-generation](https://huggingface.co/Michelvh/flan-t5-end2end-question-generation) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5308

## 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: 5e-05
- 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3586        | 0.34  | 100  | 1.5485          |
| 1.4377        | 0.68  | 200  | 1.5308          |


### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3