---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
model-index:
- name: flan-t5-mc-question-generation
  results: []
inference:
  parameters:
      max_length: 512
      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-mc-question-generation

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2509

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9047        | 0.25  | 100  | 1.4246          |
| 1.5894        | 0.51  | 200  | 1.3711          |
| 1.5355        | 0.76  | 300  | 1.3450          |
| 1.5041        | 1.02  | 400  | 1.3255          |
| 1.4858        | 1.27  | 500  | 1.3134          |
| 1.4711        | 1.53  | 600  | 1.3038          |
| 1.4576        | 1.78  | 700  | 1.2951          |
| 1.4466        | 2.04  | 800  | 1.2888          |
| 1.4405        | 2.29  | 900  | 1.2836          |
| 1.4284        | 2.55  | 1000 | 1.2794          |
| 1.4228        | 2.8   | 1100 | 1.2758          |
| 1.4234        | 3.06  | 1200 | 1.2719          |
| 1.4104        | 3.31  | 1300 | 1.2690          |
| 1.4147        | 3.56  | 1400 | 1.2666          |
| 1.41          | 3.82  | 1500 | 1.2637          |
| 1.3996        | 4.07  | 1600 | 1.2622          |
| 1.4015        | 4.33  | 1700 | 1.2600          |
| 1.3958        | 4.58  | 1800 | 1.2583          |
| 1.395         | 4.84  | 1900 | 1.2566          |
| 1.3899        | 5.09  | 2000 | 1.2553          |
| 1.3929        | 5.35  | 2100 | 1.2542          |
| 1.3884        | 5.6   | 2200 | 1.2529          |
| 1.3884        | 5.86  | 2300 | 1.2523          |
| 1.3821        | 6.11  | 2400 | 1.2520          |
| 1.3886        | 6.37  | 2500 | 1.2513          |
| 1.3865        | 6.62  | 2600 | 1.2510          |
| 1.3841        | 6.87  | 2700 | 1.2509          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3