opus_books_model
This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-big-en-ko on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.7994
- Bleu: 1.4336
- Gen Len: 14.8855
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 3.7582 | 1.0 | 2500 | 3.8979 | 0.8575 | 19.185 |
| 3.6939 | 2.0 | 5000 | 3.7994 | 1.4336 | 14.8855 |
Framework versions
- Transformers 4.55.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4
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Model tree for goosego/opus_books_model
Base model
Helsinki-NLP/opus-mt-tc-big-en-ko