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opus-mt-finetuned-id-to-jv
This model is a fine-tuned version of hermanshid/opus-mt-finetuned-su-to-id on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5597
- Bleu: 50.74
- Gen Len: 58.1428
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 |
|---|---|---|---|---|---|
| 0.841 | 1.0 | 2500 | 0.7481 | 44.6803 | 58.0716 |
| 0.7025 | 2.0 | 5000 | 0.6599 | 47.0415 | 58.3842 |
| 0.6305 | 3.0 | 7500 | 0.6203 | 48.4781 | 58.154 |
| 0.5772 | 4.0 | 10000 | 0.5969 | 49.1335 | 58.4164 |
| 0.5472 | 5.0 | 12500 | 0.5816 | 49.7317 | 58.149 |
| 0.5215 | 6.0 | 15000 | 0.5728 | 50.1163 | 58.0292 |
| 0.5079 | 7.0 | 17500 | 0.5676 | 50.4371 | 58.2302 |
| 0.4845 | 8.0 | 20000 | 0.5626 | 50.606 | 58.0254 |
| 0.4703 | 9.0 | 22500 | 0.5600 | 50.7025 | 58.0016 |
| 0.4597 | 10.0 | 25000 | 0.5597 | 50.74 | 58.1428 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
