---
license: apache-2.0
base_model: Buseak/md_mt5_0109_v4
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_0109_v5
  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_v5

This model is a fine-tuned version of [Buseak/md_mt5_0109_v4](https://huggingface.co/Buseak/md_mt5_0109_v4) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0832
- Bleu: 0.637
- Gen Len: 18.9449

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 0.2251        | 1.0   | 975   | 0.1136          | 0.611  | 18.9487 |
| 0.2151        | 2.0   | 1950  | 0.1080          | 0.6183 | 18.9479 |
| 0.2109        | 3.0   | 2925  | 0.1043          | 0.6211 | 18.949  |
| 0.2033        | 4.0   | 3900  | 0.1003          | 0.6203 | 18.9456 |
| 0.2002        | 5.0   | 4875  | 0.0974          | 0.6223 | 18.9451 |
| 0.1948        | 6.0   | 5850  | 0.0946          | 0.6246 | 18.9438 |
| 0.1935        | 7.0   | 6825  | 0.0924          | 0.63   | 18.9487 |
| 0.1843        | 8.0   | 7800  | 0.0902          | 0.6345 | 18.9438 |
| 0.1834        | 9.0   | 8775  | 0.0882          | 0.6307 | 18.9446 |
| 0.1849        | 10.0  | 9750  | 0.0862          | 0.6344 | 18.9459 |
| 0.1851        | 11.0  | 10725 | 0.0856          | 0.6344 | 18.9436 |
| 0.1826        | 12.0  | 11700 | 0.0843          | 0.6377 | 18.9449 |
| 0.1834        | 13.0  | 12675 | 0.0838          | 0.635  | 18.9441 |
| 0.1836        | 14.0  | 13650 | 0.0834          | 0.637  | 18.9449 |
| 0.185         | 15.0  | 14625 | 0.0832          | 0.637  | 18.9449 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1