| | --- |
| | license: apache-2.0 |
| | base_model: Buseak/md_mt5_0109_v4 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - bleu |
| | model-index: |
| | - name: md_mt5_0109_v5 |
| | 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_v5 |
| | |
| | This model is a fine-tuned version of [Buseak/md_mt5_0109_v4](https://huggingface.co/Buseak/md_mt5_0109_v4) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0832 |
| | - Bleu: 0.637 |
| | - Gen Len: 18.9449 |
| | |
| | ## 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 | |
| | |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:| |
| | | 0.2251 | 1.0 | 975 | 0.1136 | 0.611 | 18.9487 | |
| | | 0.2151 | 2.0 | 1950 | 0.1080 | 0.6183 | 18.9479 | |
| | | 0.2109 | 3.0 | 2925 | 0.1043 | 0.6211 | 18.949 | |
| | | 0.2033 | 4.0 | 3900 | 0.1003 | 0.6203 | 18.9456 | |
| | | 0.2002 | 5.0 | 4875 | 0.0974 | 0.6223 | 18.9451 | |
| | | 0.1948 | 6.0 | 5850 | 0.0946 | 0.6246 | 18.9438 | |
| | | 0.1935 | 7.0 | 6825 | 0.0924 | 0.63 | 18.9487 | |
| | | 0.1843 | 8.0 | 7800 | 0.0902 | 0.6345 | 18.9438 | |
| | | 0.1834 | 9.0 | 8775 | 0.0882 | 0.6307 | 18.9446 | |
| | | 0.1849 | 10.0 | 9750 | 0.0862 | 0.6344 | 18.9459 | |
| | | 0.1851 | 11.0 | 10725 | 0.0856 | 0.6344 | 18.9436 | |
| | | 0.1826 | 12.0 | 11700 | 0.0843 | 0.6377 | 18.9449 | |
| | | 0.1834 | 13.0 | 12675 | 0.0838 | 0.635 | 18.9441 | |
| | | 0.1836 | 14.0 | 13650 | 0.0834 | 0.637 | 18.9449 | |
| | | 0.185 | 15.0 | 14625 | 0.0832 | 0.637 | 18.9449 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.35.2 |
| | - Pytorch 2.1.0+cu121 |
| | - Datasets 2.16.1 |
| | - Tokenizers 0.15.1 |
| | |
