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bert-finetuned-for-medical-ner – AI Model by VinDoe | AlphaNeural AI
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VinDoe
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bert-finetuned-for-medical-ner
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transformers
safetensors
bert
token-classification
medical-ner
generated_from_trainer
en
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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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
