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SourceData_NER_v1_0_0_PubMedBERT_base – AI Model by EMBO | AlphaNeural AI
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SourceData_NER_v1_0_0_PubMedBERT_base
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transformers
safetensors
bert
token-classification
generated_from_trainer
source_data
microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract
finetune
mit
model-index
autotrain_compatible
endpoints_compatible
us
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SourceData_NER_v1_0_0_PubMedBERT_base
This model is a fine-tuned version of
microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract
on the source_data dataset. It achieves the following results on the evaluation set:
Loss: 0.1432
Accuracy Score: 0.9557
Precision: 0.8140
Recall: 0.8536
F1: 0.8333
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: 0.0001
train_batch_size: 64
eval_batch_size: 128
seed: 42
optimizer: Use adafactor and the args are: No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy Score
Precision
Recall
F1
0.1092
1.0
864
0.1403
0.9520
0.8061
0.8293
0.8175
0.075
2.0
1728
0.1432
0.9557
0.8140
0.8536
0.8333
Framework versions
Transformers 4.46.3
Pytorch 1.13.1+cu117
Datasets 3.1.0
Tokenizers 0.20.3
