---
license: apache-2.0
base_model: Buseak/md_mt5_1911_v18_retrain
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_2611_retrain_v20_imst
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# md_mt5_2611_retrain_v20_imst

This model is a fine-tuned version of [Buseak/md_mt5_1911_v18_retrain](https://huggingface.co/Buseak/md_mt5_1911_v18_retrain) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1318
- Bleu: 2.1555
- Gen Len: 18.766

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 0.4201        | 1.0   | 916   | 0.2039          | 1.9544 | 18.7368 |
| 0.396         | 2.0   | 1832  | 0.1862          | 2.0084 | 18.7398 |
| 0.363         | 3.0   | 2748  | 0.1757          | 2.0274 | 18.7475 |
| 0.3559        | 4.0   | 3664  | 0.1681          | 2.0622 | 18.7573 |
| 0.3389        | 5.0   | 4580  | 0.1606          | 2.0798 | 18.7614 |
| 0.3338        | 6.0   | 5496  | 0.1528          | 2.1003 | 18.7581 |
| 0.3192        | 7.0   | 6412  | 0.1476          | 2.1099 | 18.7622 |
| 0.3162        | 8.0   | 7328  | 0.1449          | 2.1171 | 18.7554 |
| 0.2958        | 9.0   | 8244  | 0.1405          | 2.1293 | 18.7559 |
| 0.3012        | 10.0  | 9160  | 0.1379          | 2.1451 | 18.7606 |
| 0.2909        | 11.0  | 10076 | 0.1352          | 2.1459 | 18.7644 |
| 0.2869        | 12.0  | 10992 | 0.1338          | 2.1467 | 18.7628 |
| 0.2875        | 13.0  | 11908 | 0.1324          | 2.1467 | 18.7639 |
| 0.2875        | 14.0  | 12824 | 0.1317          | 2.155  | 18.7649 |
| 0.2836        | 15.0  | 13740 | 0.1318          | 2.1555 | 18.766  |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0