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---
license: apache-2.0
base_model: Buseak/md_mt5_0109_v5
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_0109_v6
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_0109_v6
This model is a fine-tuned version of [Buseak/md_mt5_0109_v5](https://huggingface.co/Buseak/md_mt5_0109_v5) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0628
- Bleu: 0.6537
- Gen Len: 18.9513
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 0.1911 | 1.0 | 975 | 0.0801 | 0.6356 | 18.9449 |
| 0.1854 | 2.0 | 1950 | 0.0782 | 0.6365 | 18.9446 |
| 0.1807 | 3.0 | 2925 | 0.0755 | 0.6419 | 18.9485 |
| 0.175 | 4.0 | 3900 | 0.0732 | 0.6431 | 18.949 |
| 0.1699 | 5.0 | 4875 | 0.0720 | 0.6471 | 18.949 |
| 0.1669 | 6.0 | 5850 | 0.0701 | 0.6474 | 18.9497 |
| 0.165 | 7.0 | 6825 | 0.0682 | 0.6494 | 18.95 |
| 0.1604 | 8.0 | 7800 | 0.0673 | 0.6508 | 18.9505 |
| 0.1585 | 9.0 | 8775 | 0.0665 | 0.6516 | 18.9505 |
| 0.1512 | 10.0 | 9750 | 0.0652 | 0.6518 | 18.9508 |
| 0.1543 | 11.0 | 10725 | 0.0646 | 0.653 | 18.9505 |
| 0.155 | 12.0 | 11700 | 0.0639 | 0.6533 | 18.9505 |
| 0.1506 | 13.0 | 12675 | 0.0633 | 0.6537 | 18.951 |
| 0.1493 | 14.0 | 13650 | 0.0629 | 0.6538 | 18.951 |
| 0.1486 | 15.0 | 14625 | 0.0628 | 0.6537 | 18.9513 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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