---
license: apache-2.0
base_model: Buseak/md_mt5_0109
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_0109_v2
  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_v2

This model is a fine-tuned version of [Buseak/md_mt5_0109](https://huggingface.co/Buseak/md_mt5_0109) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2368
- Bleu: 0.5272
- Gen Len: 18.9267

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 0.8133        | 1.0   | 975   | 0.4559          | 0.4502 | 18.9192 |
| 0.7386        | 2.0   | 1950  | 0.4087          | 0.4689 | 18.9203 |
| 0.6826        | 3.0   | 2925  | 0.3751          | 0.4854 | 18.9244 |
| 0.6321        | 4.0   | 3900  | 0.3450          | 0.4959 | 18.9221 |
| 0.6062        | 5.0   | 4875  | 0.3235          | 0.4977 | 18.9187 |
| 0.5634        | 6.0   | 5850  | 0.3027          | 0.5123 | 18.9172 |
| 0.5361        | 7.0   | 6825  | 0.2874          | 0.5146 | 18.9259 |
| 0.5152        | 8.0   | 7800  | 0.2719          | 0.5211 | 18.9295 |
| 0.503         | 9.0   | 8775  | 0.2661          | 0.5222 | 18.9292 |
| 0.4868        | 10.0  | 9750  | 0.2550          | 0.5258 | 18.9277 |
| 0.4691        | 11.0  | 10725 | 0.2485          | 0.5263 | 18.9251 |
| 0.4672        | 12.0  | 11700 | 0.2432          | 0.526  | 18.9238 |
| 0.4607        | 13.0  | 12675 | 0.2394          | 0.5268 | 18.9259 |
| 0.4536        | 14.0  | 13650 | 0.2369          | 0.5272 | 18.9267 |
| 0.4499        | 15.0  | 14625 | 0.2368          | 0.5272 | 18.9267 |


### Framework versions

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