--- license: apache-2.0 base_model: Helsinki-NLP/opus-mt-en-zh tags: - generated_from_trainer metrics: - bleu model-index: - name: medical_en_zh_8_29 results: [] --- # medical_en_zh_8_29 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-zh](https://huggingface.co/Helsinki-NLP/opus-mt-en-zh) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.8832 - Bleu: 37.4827 - Gen Len: 126.8591 ## 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: 8e-05 - train_batch_size: 8 - eval_batch_size: 16 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:-----:|:---------------:|:-------:|:--------:| | 1.5517 | 1.02 | 3000 | 1.3893 | 30.6374 | 128.9001 | | 1.2621 | 2.04 | 6000 | 1.2044 | 31.9025 | 128.2471 | | 1.116 | 3.06 | 9000 | 1.1085 | 34.723 | 125.0336 | | 1.0159 | 4.08 | 12000 | 1.0374 | 35.3902 | 126.2187 | | 0.9338 | 5.1 | 15000 | 0.9952 | 36.0916 | 125.306 | | 0.8658 | 6.12 | 18000 | 0.9503 | 36.7602 | 126.7424 | | 0.8146 | 7.14 | 21000 | 0.9213 | 36.7016 | 126.5226 | | 0.7804 | 8.16 | 24000 | 0.8997 | 37.0674 | 127.4143 | | 0.759 | 9.19 | 27000 | 0.8832 | 37.4827 | 126.8591 | ### Framework versions - Transformers 4.33.0.dev0 - Pytorch 2.0.0 - Datasets 2.1.0 - Tokenizers 0.13.3