---
license: apache-2.0
base_model: Buseak/md_mt5_0109_v5
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_0109_v6
  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. -->

# md_mt5_0109_v6

This model is a fine-tuned version of [Buseak/md_mt5_0109_v5](https://huggingface.co/Buseak/md_mt5_0109_v5) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0628
- Bleu: 0.6537
- Gen Len: 18.9513

## 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: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 0.1911        | 1.0   | 975   | 0.0801          | 0.6356 | 18.9449 |
| 0.1854        | 2.0   | 1950  | 0.0782          | 0.6365 | 18.9446 |
| 0.1807        | 3.0   | 2925  | 0.0755          | 0.6419 | 18.9485 |
| 0.175         | 4.0   | 3900  | 0.0732          | 0.6431 | 18.949  |
| 0.1699        | 5.0   | 4875  | 0.0720          | 0.6471 | 18.949  |
| 0.1669        | 6.0   | 5850  | 0.0701          | 0.6474 | 18.9497 |
| 0.165         | 7.0   | 6825  | 0.0682          | 0.6494 | 18.95   |
| 0.1604        | 8.0   | 7800  | 0.0673          | 0.6508 | 18.9505 |
| 0.1585        | 9.0   | 8775  | 0.0665          | 0.6516 | 18.9505 |
| 0.1512        | 10.0  | 9750  | 0.0652          | 0.6518 | 18.9508 |
| 0.1543        | 11.0  | 10725 | 0.0646          | 0.653  | 18.9505 |
| 0.155         | 12.0  | 11700 | 0.0639          | 0.6533 | 18.9505 |
| 0.1506        | 13.0  | 12675 | 0.0633          | 0.6537 | 18.951  |
| 0.1493        | 14.0  | 13650 | 0.0629          | 0.6538 | 18.951  |
| 0.1486        | 15.0  | 14625 | 0.0628          | 0.6537 | 18.9513 |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2