Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
EXP_1_BINARY-microsoft-BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext – AI Model by irebil | AlphaNeural AI
You can deploy this model and start earning money today!
irebil
/
EXP_1_BINARY-microsoft-BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext
like
0
transformers
safetensors
bert
token-classification
generated_from_trainer
microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
EXP_1_BINARY-microsoft-BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext
This model is a fine-tuned version of
microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1990
Precision: 0.8979
Recall: 0.9153
F1: 0.9065
Accuracy: 0.9219
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.2136
1.0
220
0.2065
0.8863
0.9244
0.9049
0.9196
0.2014
2.0
440
0.2028
0.8876
0.9279
0.9073
0.9216
0.1951
3.0
660
0.1990
0.8979
0.9153
0.9065
0.9219
Framework versions
Transformers 4.57.1
Pytorch 2.9.1+cu130
Datasets 4.4.1
Tokenizers 0.22.1
