---
license: mit
base_model: nafisehNik/mt5-persian-summary
tags:
- generated_from_trainer
datasets:
- pn_summary
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [nafisehNik/mt5-persian-summary](https://huggingface.co./nafisehNik/mt5-persian-summary) on the pn_summary dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2449

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.28          | 1.0   | 18455 | 0.2519          |
| 0.2723        | 2.0   | 36910 | 0.2463          |
| 0.2656        | 3.0   | 55365 | 0.2449          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1