| library_name: transformers | |
| license: cc-by-4.0 | |
| base_model: Helsinki-NLP/opus-mt-tc-big-en-ko | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - bleu | |
| model-index: | |
| - name: opus_books_model | |
| results: [] | |
| <!-- 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_books_model | |
| This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-en-ko](https://huggingface.co/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 | |