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SourceData_SmallmolRoles_v1_0_0_PubMedBERT_base – AI Model by EMBO | AlphaNeural AI
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EMBO
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SourceData_SmallmolRoles_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
10.57967/hf/7214
mit
model-index
endpoints_compatible
us
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SourceData_SmallmolRoles_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: 0.0016
Accuracy Score: 0.9996
Precision: 0.9707
Recall: 0.9735
F1: 0.9721
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: 1.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy Score
Precision
Recall
F1
0.0012
1.0
864
0.0016
0.9996
0.9707
0.9735
0.9721
Framework versions
Transformers 4.46.3
Pytorch 1.13.1+cu117
Datasets 3.1.0
Tokenizers 0.20.3
