---
license: apache-2.0
tags:
- generated_from_trainer
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 [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6214

## 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: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.6935        | 0.68  | 100  | 1.9503          |
| 2.0864        | 1.35  | 200  | 1.8105          |
| 1.9497        | 2.03  | 300  | 1.7440          |
| 1.8739        | 2.71  | 400  | 1.6970          |
| 1.8173        | 3.39  | 500  | 1.6763          |
| 1.7876        | 4.06  | 600  | 1.6613          |
| 1.7596        | 4.74  | 700  | 1.6343          |
| 1.7368        | 5.42  | 800  | 1.6326          |
| 1.7225        | 6.1   | 900  | 1.6207          |
| 1.7138        | 6.77  | 1000 | 1.6214          |


### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2