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marian-finetuned-altp-corpus-id-en
This model is a fine-tuned version of Helsinki-NLP/opus-mt-id-en on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3187
- Bleu: 40.954
- Gen Len: 29.7787
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.2475 | 1.0 | 503 | 0.3157 | 40.6545 | 29.6788 |
| 0.2251 | 2.0 | 1006 | 0.3176 | 41.0823 | 29.7591 |
| 0.2119 | 3.0 | 1509 | 0.3187 | 40.954 | 29.7787 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
