---
base_model: google/mt5-base
tags:
- generated_from_trainer
model-index:
- name: output
  results: []
language:
- fa
datasets:
- SeyedAli/Persian-Text-Paraphrasing
---

<!-- 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. -->

# Persian-Text-paraphraser-mT5

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on [SeyedAli/Persian-Text-Paraphrasing](https://huggingface.co/datasets/SeyedAli/Persian-Text-Paraphrasing) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2334

## 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: 2e-05
- train_batch_size: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 160  | 0.4026          |
| No log        | 2.0   | 320  | 0.2853          |
| No log        | 3.0   | 480  | 0.2543          |
| 1.5981        | 4.0   | 640  | 0.2466          |
| 1.5981        | 5.0   | 800  | 0.2408          |
| 1.5981        | 6.0   | 960  | 0.2367          |
| 0.3535        | 7.0   | 1120 | 0.2363          |
| 0.3535        | 8.0   | 1280 | 0.2344          |
| 0.3535        | 9.0   | 1440 | 0.2334          |
| 0.3151        | 10.0  | 1600 | 0.2334          |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3