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mBART_translator_kobart_2
This model is a fine-tuned version of hyunwoongko/kobart on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0971
- Bleu: 34.7406
- Gen Len: 19.863
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.7514 | 1.0 | 1912 | 0.3009 | 33.1304 | 19.8465 |
| 0.4925 | 2.0 | 3824 | 0.2213 | 33.7817 | 19.8541 |
| 0.3893 | 3.0 | 5736 | 0.1789 | 34.1249 | 19.8577 |
| 0.3328 | 4.0 | 7648 | 0.1555 | 34.3074 | 19.8598 |
| 0.2896 | 5.0 | 9560 | 0.1375 | 34.4127 | 19.8585 |
| 0.2614 | 6.0 | 11472 | 0.1240 | 34.5061 | 19.8604 |
| 0.2292 | 7.0 | 13384 | 0.1116 | 34.6476 | 19.8632 |
| 0.2098 | 8.0 | 15296 | 0.1050 | 34.6956 | 19.863 |
| 0.1967 | 9.0 | 17208 | 0.0995 | 34.7304 | 19.863 |
| 0.1812 | 10.0 | 19120 | 0.0971 | 34.7406 | 19.863 |
Framework versions
- Transformers 4.23.0
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.13.1
