bert-finetuned-for-medical-ner
This model is a fine-tuned version of google-bert/bert-base-uncased on the surrey-nlp/PLODv2-filtered dataset.
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: 8
- eval_batch_size: 2
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1
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Model tree for VinDoe/bert-finetuned-for-medical-ner
Base model
google-bert/bert-base-uncased