---
license: apache-2.0
base_model: Buseak/md_mt5_0109_v2
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_0109_v3
  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_v3

This model is a fine-tuned version of [Buseak/md_mt5_0109_v2](https://huggingface.co/Buseak/md_mt5_0109_v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1474
- Bleu: 0.582
- Gen Len: 18.9438

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 0.461         | 1.0   | 975   | 0.2323          | 0.5382 | 18.9456 |
| 0.434         | 2.0   | 1950  | 0.2157          | 0.5482 | 18.9446 |
| 0.4083        | 3.0   | 2925  | 0.2039          | 0.5526 | 18.949  |
| 0.3894        | 4.0   | 3900  | 0.1898          | 0.5577 | 18.9485 |
| 0.3766        | 5.0   | 4875  | 0.1827          | 0.5625 | 18.9508 |
| 0.3605        | 6.0   | 5850  | 0.1751          | 0.5665 | 18.9508 |
| 0.3497        | 7.0   | 6825  | 0.1680          | 0.5717 | 18.949  |
| 0.3325        | 8.0   | 7800  | 0.1634          | 0.5735 | 18.9423 |
| 0.323         | 9.0   | 8775  | 0.1581          | 0.574  | 18.9469 |
| 0.3211        | 10.0  | 9750  | 0.1546          | 0.58   | 18.9467 |
| 0.3177        | 11.0  | 10725 | 0.1526          | 0.5805 | 18.9464 |
| 0.3085        | 12.0  | 11700 | 0.1498          | 0.5831 | 18.9459 |
| 0.3056        | 13.0  | 12675 | 0.1485          | 0.5816 | 18.9456 |
| 0.304         | 14.0  | 13650 | 0.1478          | 0.5819 | 18.9438 |
| 0.3015        | 15.0  | 14625 | 0.1474          | 0.582  | 18.9438 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0