md_mt5_0109_v5
This model is a fine-tuned version of 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
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