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SourceData_RolesMulti_v1_0_0_PubMedBERT_large – AI Model by EMBO | AlphaNeural AI
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SourceData_RolesMulti_v1_0_0_PubMedBERT_large
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transformers
safetensors
bert
token-classification
generated_from_trainer
source_data
microsoft/BiomedNLP-BiomedBERT-large-uncased-abstract
finetune
10.57967/hf/7219
mit
model-index
endpoints_compatible
us
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SourceData_RolesMulti_v1_0_0_PubMedBERT_large
This model is a fine-tuned version of
microsoft/BiomedNLP-BiomedBERT-large-uncased-abstract
on the source_data dataset. It achieves the following results on the evaluation set:
Loss: 0.0068
Accuracy Score: 0.9981
Precision: 0.9613
Recall: 0.9695
F1: 0.9654
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: 5e-05
train_batch_size: 16
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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
0.0046
0.9994
863
0.0068
0.9981
0.9613
0.9695
0.9654
Framework versions
Transformers 4.46.3
Pytorch 1.13.1+cu117
Datasets 3.1.0
Tokenizers 0.20.3
