---
license: apache-2.0
base_model: Buseak/md_mt5_base_boun_split_second_v1_retrain_on_second_imst
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_base_boun_split_second_v1_retrain_on_second_imst_v2_1112
  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_v2_1112

This model is a fine-tuned version of [Buseak/md_mt5_base_boun_split_second_v1_retrain_on_second_imst](https://huggingface.co/Buseak/md_mt5_base_boun_split_second_v1_retrain_on_second_imst) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1052
- Bleu: 2.2599
- Gen Len: 18.7745

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 0.2959        | 1.0   | 916   | 0.1507          | 2.123  | 18.7726 |
| 0.2784        | 2.0   | 1832  | 0.1420          | 2.1538 | 18.771  |
| 0.2741        | 3.0   | 2748  | 0.1376          | 2.1514 | 18.7701 |
| 0.2635        | 4.0   | 3664  | 0.1304          | 2.1802 | 18.7745 |
| 0.2551        | 5.0   | 4580  | 0.1255          | 2.1975 | 18.7775 |
| 0.2572        | 6.0   | 5496  | 0.1225          | 2.2077 | 18.7775 |
| 0.2504        | 7.0   | 6412  | 0.1188          | 2.2158 | 18.7781 |
| 0.2449        | 8.0   | 7328  | 0.1152          | 2.2287 | 18.7781 |
| 0.2425        | 9.0   | 8244  | 0.1121          | 2.2366 | 18.7748 |
| 0.2383        | 10.0  | 9160  | 0.1100          | 2.2437 | 18.777  |
| 0.2458        | 11.0  | 10076 | 0.1081          | 2.2543 | 18.7786 |
| 0.2334        | 12.0  | 10992 | 0.1075          | 2.2505 | 18.7786 |
| 0.2415        | 13.0  | 11908 | 0.1060          | 2.2519 | 18.775  |
| 0.2401        | 14.0  | 12824 | 0.1052          | 2.2579 | 18.7742 |
| 0.2435        | 15.0  | 13740 | 0.1052          | 2.2599 | 18.7745 |


### Framework versions

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