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---
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 |