--- license: cc0-1.0 base_model: bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12 tags: - generated_from_trainer model-index: - name: BC5CDR_BlueBERT_NER results: [] --- # BC5CDR_BlueBERT_NER This model is a fine-tuned version of [bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12](https://huggingface.co/bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0944 - Seqeval classification report: precision recall f1-score support Chemical 0.84 0.89 0.87 7079 Disease 0.82 0.85 0.83 4968 micro avg 0.83 0.87 0.85 12047 macro avg 0.83 0.87 0.85 12047 weighted avg 0.83 0.87 0.85 12047 ## 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 - gradient_accumulation_steps: 2 - total_train_batch_size: 32 - 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 | Seqeval classification report | |:-------------:|:-----:|:----:|:---------------:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:| | No log | 1.0 | 143 | 0.1111 | precision recall f1-score support Chemical 0.82 0.86 0.84 7079 Disease 0.76 0.83 0.80 4968 micro avg 0.79 0.85 0.82 12047 macro avg 0.79 0.85 0.82 12047 weighted avg 0.79 0.85 0.82 12047 | | No log | 2.0 | 286 | 0.0987 | precision recall f1-score support Chemical 0.83 0.89 0.86 7079 Disease 0.78 0.86 0.82 4968 micro avg 0.81 0.88 0.84 12047 macro avg 0.80 0.87 0.84 12047 weighted avg 0.81 0.88 0.84 12047 | | No log | 3.0 | 429 | 0.0944 | precision recall f1-score support Chemical 0.84 0.89 0.87 7079 Disease 0.82 0.85 0.83 4968 micro avg 0.83 0.87 0.85 12047 macro avg 0.83 0.87 0.85 12047 weighted avg 0.83 0.87 0.85 12047 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.0+cu121 - Datasets 2.15.0 - Tokenizers 0.15.0