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---
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
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