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---
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
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