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medbert-clinical-ner – AI Model by ribhu | AlphaNeural AI
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ribhu
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medbert-clinical-ner
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transformers
tensorboard
safetensors
bert
token-classification
generated_from_trainer
Charangan/MedBERT
finetune
mit
autotrain_compatible
endpoints_compatible
us
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medbert-clinical-ner
This model is a fine-tuned version of
Charangan/MedBERT
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3264
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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.15
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
36
0.2732
No log
2.0
72
0.2875
No log
3.0
108
0.3106
No log
4.0
144
0.3228
No log
5.0
180
0.3264
Framework versions
Transformers 4.44.2
Pytorch 2.5.0+cu121
Tokenizers 0.19.1
