---
license: apache-2.0
base_model: Buseak/md_mt5_0109_v3
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_0109_v4
  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_v4

This model is a fine-tuned version of [Buseak/md_mt5_0109_v3](https://huggingface.co/Buseak/md_mt5_0109_v3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1076
- Bleu: 0.5986
- Gen Len: 18.9367

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 0.319         | 1.0   | 975   | 0.1525          | 0.5661 | 18.9408 |
| 0.3086        | 2.0   | 1950  | 0.1450          | 0.5746 | 18.9364 |
| 0.2952        | 3.0   | 2925  | 0.1376          | 0.5786 | 18.9369 |
| 0.2822        | 4.0   | 3900  | 0.1322          | 0.5793 | 18.9392 |
| 0.272         | 5.0   | 4875  | 0.1272          | 0.5836 | 18.94   |
| 0.2676        | 6.0   | 5850  | 0.1230          | 0.5854 | 18.9377 |
| 0.255         | 7.0   | 6825  | 0.1205          | 0.5873 | 18.9369 |
| 0.2516        | 8.0   | 7800  | 0.1161          | 0.5901 | 18.941  |
| 0.247         | 9.0   | 8775  | 0.1146          | 0.5924 | 18.939  |
| 0.2426        | 10.0  | 9750  | 0.1127          | 0.5947 | 18.9374 |
| 0.234         | 11.0  | 10725 | 0.1108          | 0.5962 | 18.9374 |
| 0.2359        | 12.0  | 11700 | 0.1091          | 0.5983 | 18.9374 |
| 0.2347        | 13.0  | 12675 | 0.1086          | 0.5983 | 18.9377 |
| 0.2271        | 14.0  | 13650 | 0.1077          | 0.5984 | 18.9367 |
| 0.2318        | 15.0  | 14625 | 0.1076          | 0.5986 | 18.9367 |


### Framework versions

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