<!-- 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. -->
opus-mt-finetuned-su-to-id
This model is a fine-tuned version of hermanshid/opus-mt-finetuned-id-to-su on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0114
- Bleu: 34.1024
- Gen Len: 54.7788
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|---|
| 1.4771 | 1.0 | 2500 | 1.3476 | 26.9951 | 54.326 |
| 1.2773 | 2.0 | 5000 | 1.2004 | 29.6076 | 54.7672 |
| 1.1813 | 3.0 | 7500 | 1.1286 | 31.2619 | 55.0676 |
| 1.1052 | 4.0 | 10000 | 1.0859 | 32.1006 | 54.8726 |
| 1.0558 | 5.0 | 12500 | 1.0561 | 32.7946 | 54.7328 |
| 1.019 | 6.0 | 15000 | 1.0383 | 33.2759 | 54.7428 |
| 0.9953 | 7.0 | 17500 | 1.0280 | 33.5529 | 54.6836 |
| 0.9656 | 8.0 | 20000 | 1.0169 | 33.9846 | 54.8196 |
| 0.9456 | 9.0 | 22500 | 1.0132 | 34.013 | 54.8898 |
| 0.9417 | 10.0 | 25000 | 1.0114 | 34.1024 | 54.7788 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
