---
license: apache-2.0
base_model: Buseak/md_mt5_0109_v7
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_0109_v8
  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_v8

This model is a fine-tuned version of [Buseak/md_mt5_0109_v7](https://huggingface.co/Buseak/md_mt5_0109_v7) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0444
- Bleu: 0.6614
- Gen Len: 18.9444

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 0.1129        | 1.0   | 975   | 0.0597          | 0.6517 | 18.9418 |
| 0.1094        | 2.0   | 1950  | 0.0567          | 0.654  | 18.9372 |
| 0.1101        | 3.0   | 2925  | 0.0543          | 0.657  | 18.9415 |
| 0.1097        | 4.0   | 3900  | 0.0520          | 0.6555 | 18.9446 |
| 0.1091        | 5.0   | 4875  | 0.0511          | 0.6571 | 18.9446 |
| 0.1102        | 6.0   | 5850  | 0.0497          | 0.6591 | 18.9451 |
| 0.1056        | 7.0   | 6825  | 0.0489          | 0.6585 | 18.9444 |
| 0.1088        | 8.0   | 7800  | 0.0470          | 0.6595 | 18.9436 |
| 0.1103        | 9.0   | 8775  | 0.0467          | 0.6589 | 18.9415 |
| 0.1078        | 10.0  | 9750  | 0.0462          | 0.66   | 18.9423 |
| 0.1106        | 11.0  | 10725 | 0.0451          | 0.6605 | 18.9431 |
| 0.1112        | 12.0  | 11700 | 0.0448          | 0.6607 | 18.9444 |
| 0.1134        | 13.0  | 12675 | 0.0447          | 0.6607 | 18.9395 |
| 0.1183        | 14.0  | 13650 | 0.0446          | 0.6602 | 18.9408 |
| 0.1188        | 15.0  | 14625 | 0.0444          | 0.6614 | 18.9444 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2