---
license: apache-2.0
base_model: Buseak/md_mt5_0109_v6
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_0109_v7
  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_v7

This model is a fine-tuned version of [Buseak/md_mt5_0109_v6](https://huggingface.co/Buseak/md_mt5_0109_v6) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0600
- Bleu: 0.6466
- Gen Len: 18.9431

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 0.1769        | 1.0   | 975   | 0.0816          | 0.6214 | 18.9392 |
| 0.1686        | 2.0   | 1950  | 0.0776          | 0.6253 | 18.9385 |
| 0.1668        | 3.0   | 2925  | 0.0742          | 0.6317 | 18.941  |
| 0.1618        | 4.0   | 3900  | 0.0711          | 0.6321 | 18.9413 |
| 0.1596        | 5.0   | 4875  | 0.0692          | 0.6355 | 18.9408 |
| 0.1575        | 6.0   | 5850  | 0.0670          | 0.6403 | 18.9426 |
| 0.1486        | 7.0   | 6825  | 0.0661          | 0.6419 | 18.9423 |
| 0.1504        | 8.0   | 7800  | 0.0636          | 0.6447 | 18.9428 |
| 0.1476        | 9.0   | 8775  | 0.0632          | 0.6443 | 18.9423 |
| 0.1432        | 10.0  | 9750  | 0.0623          | 0.6447 | 18.9428 |
| 0.1438        | 11.0  | 10725 | 0.0610          | 0.6464 | 18.9423 |
| 0.1411        | 12.0  | 11700 | 0.0607          | 0.6453 | 18.9431 |
| 0.1425        | 13.0  | 12675 | 0.0604          | 0.6475 | 18.9431 |
| 0.1437        | 14.0  | 13650 | 0.0602          | 0.6466 | 18.9431 |
| 0.1416        | 15.0  | 14625 | 0.0600          | 0.6466 | 18.9431 |


### Framework versions

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