---
license: apache-2.0
base_model: Buseak/md_mt5_base_boun_split_second_v1_retrain_on_first_boun
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_base_boun_split_second_v1_retrain_on_second_imst
  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_base_boun_split_second_v1_retrain_on_second_imst

This model is a fine-tuned version of [Buseak/md_mt5_base_boun_split_second_v1_retrain_on_first_boun](https://huggingface.co/Buseak/md_mt5_base_boun_split_second_v1_retrain_on_first_boun) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1581
- Bleu: 2.0954
- Gen Len: 18.7592

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 0.5133        | 1.0   | 916   | 0.2581          | 1.8828 | 18.7472 |
| 0.4699        | 2.0   | 1832  | 0.2371          | 1.9073 | 18.7142 |
| 0.4469        | 3.0   | 2748  | 0.2222          | 1.9197 | 18.739  |
| 0.4205        | 4.0   | 3664  | 0.2085          | 1.9502 | 18.7502 |
| 0.4001        | 5.0   | 4580  | 0.1983          | 1.9643 | 18.7409 |
| 0.3992        | 6.0   | 5496  | 0.1898          | 1.9948 | 18.7633 |
| 0.3824        | 7.0   | 6412  | 0.1841          | 2.0136 | 18.7614 |
| 0.3666        | 8.0   | 7328  | 0.1766          | 2.0422 | 18.7649 |
| 0.3562        | 9.0   | 8244  | 0.1713          | 2.0554 | 18.7636 |
| 0.345         | 10.0  | 9160  | 0.1672          | 2.0659 | 18.7611 |
| 0.3465        | 11.0  | 10076 | 0.1637          | 2.0804 | 18.7611 |
| 0.3303        | 12.0  | 10992 | 0.1617          | 2.0815 | 18.7619 |
| 0.3333        | 13.0  | 11908 | 0.1594          | 2.0835 | 18.7592 |
| 0.328         | 14.0  | 12824 | 0.1581          | 2.0958 | 18.7592 |
| 0.3267        | 15.0  | 13740 | 0.1581          | 2.0954 | 18.7592 |


### Framework versions

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