Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
SourceData_RolesMulti_v1_0_0_PubMedBERT_base – AI Model by EMBO | AlphaNeural AI
You can deploy this model and start earning money today!
EMBO
/
SourceData_RolesMulti_v1_0_0_PubMedBERT_base
like
0
transformers
safetensors
bert
token-classification
generated_from_trainer
source_data
microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract
finetune
10.57967/hf/7218
mit
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
SourceData_RolesMulti_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: 0.0083
Accuracy Score: 0.9978
Precision: 0.9495
Recall: 0.9608
F1: 0.9551
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
0.0052
1.0
864
0.0083
0.9978
0.9495
0.9608
0.9551
Framework versions
Transformers 4.46.3
Pytorch 1.13.1+cu117
Datasets 3.1.0
Tokenizers 0.20.3
