---
license: apache-2.0
base_model: Buseak/md_mt5_base_boun_split_first_v2
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_base_boun_split_second_v1_retrain_on_first_boun
  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_first_boun

This model is a fine-tuned version of [Buseak/md_mt5_base_boun_split_first_v2](https://huggingface.co/Buseak/md_mt5_base_boun_split_first_v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2417
- Bleu: 0.7017
- Gen Len: 18.7854

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 0.8304        | 1.0   | 975   | 0.4605          | 0.5978 | 18.7538 |
| 0.7517        | 2.0   | 1950  | 0.4132          | 0.6142 | 18.7521 |
| 0.696         | 3.0   | 2925  | 0.3806          | 0.6384 | 18.7754 |
| 0.6427        | 4.0   | 3900  | 0.3525          | 0.652  | 18.7659 |
| 0.6183        | 5.0   | 4875  | 0.3270          | 0.6645 | 18.7759 |
| 0.5737        | 6.0   | 5850  | 0.3105          | 0.6698 | 18.781  |
| 0.5498        | 7.0   | 6825  | 0.2940          | 0.6736 | 18.7764 |
| 0.5223        | 8.0   | 7800  | 0.2789          | 0.6896 | 18.7823 |
| 0.5131        | 9.0   | 8775  | 0.2697          | 0.6887 | 18.7808 |
| 0.4961        | 10.0  | 9750  | 0.2599          | 0.6944 | 18.7823 |
| 0.4815        | 11.0  | 10725 | 0.2536          | 0.696  | 18.7836 |
| 0.4791        | 12.0  | 11700 | 0.2480          | 0.6994 | 18.7859 |
| 0.4671        | 13.0  | 12675 | 0.2430          | 0.6992 | 18.7856 |
| 0.469         | 14.0  | 13650 | 0.2417          | 0.7011 | 18.7856 |
| 0.4642        | 15.0  | 14625 | 0.2417          | 0.7017 | 18.7854 |


### Framework versions

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