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opus-mt-finetuned-id-to-su
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: 1.2138
- Bleu: 30.2906
- Gen Len: 61.8136
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 |
|---|---|---|---|---|---|
| 1.6062 | 1.0 | 2500 | 1.4921 | 25.6912 | 62.7002 |
| 1.4351 | 2.0 | 5000 | 1.3702 | 27.6125 | 62.2532 |
| 1.3364 | 3.0 | 7500 | 1.3116 | 28.515 | 62.4072 |
| 1.2696 | 4.0 | 10000 | 1.2821 | 29.279 | 61.8128 |
| 1.2245 | 5.0 | 12500 | 1.2532 | 29.6096 | 61.631 |
| 1.1812 | 6.0 | 15000 | 1.2373 | 29.8749 | 61.9136 |
| 1.1589 | 7.0 | 17500 | 1.2309 | 29.8342 | 62.038 |
| 1.1268 | 8.0 | 20000 | 1.2186 | 30.0483 | 61.9544 |
| 1.1055 | 9.0 | 22500 | 1.2158 | 30.3904 | 61.5692 |
| 1.1035 | 10.0 | 25000 | 1.2138 | 30.2906 | 61.8136 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
