---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: flan-t5-end2end-question-generation
  results: []
pipeline_tag: text2text-generation
inference:
  parameters:
      max_length: 256
      num_beams: 4
      length_penalty: 1.5
      no_repeat_ngram_size: 3
      early_stopping: True
---

<!-- 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: 1.5506

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.6246        | 0.34  | 100  | 1.8376          |
| 1.9742        | 0.68  | 200  | 1.7341          |
| 1.8778        | 1.02  | 300  | 1.6817          |
| 1.8245        | 1.35  | 400  | 1.6455          |
| 1.7808        | 1.69  | 500  | 1.6298          |
| 1.754         | 2.03  | 600  | 1.6213          |
| 1.7226        | 2.37  | 700  | 1.6102          |
| 1.7078        | 2.71  | 800  | 1.5914          |
| 1.6953        | 3.05  | 900  | 1.5871          |
| 1.682         | 3.39  | 1000 | 1.5857          |
| 1.6593        | 3.73  | 1100 | 1.5742          |
| 1.6538        | 4.06  | 1200 | 1.5675          |
| 1.6417        | 4.4   | 1300 | 1.5682          |
| 1.6274        | 4.74  | 1400 | 1.5571          |
| 1.6375        | 5.08  | 1500 | 1.5566          |
| 1.6217        | 5.42  | 1600 | 1.5564          |
| 1.625         | 5.76  | 1700 | 1.5543          |
| 1.6055        | 6.1   | 1800 | 1.5517          |
| 1.6129        | 6.44  | 1900 | 1.5516          |
| 1.609         | 6.77  | 2000 | 1.5506          |


### Framework versions

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