biogpt-ner
This model is a fine-tuned version of microsoft/biogpt on the ncbi_disease dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Precision: 0.5037
- Recall: 0.5615
- F1: 0.5310
- Accuracy: 0.9540
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch 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
Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Downloads last month
- 17
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support
Model tree for rahularutla/biogpt-ner
Base model
microsoft/biogptDataset used to train rahularutla/biogpt-ner
Evaluation results
- Precision on ncbi_diseasevalidation set self-reported0.504
- Recall on ncbi_diseasevalidation set self-reported0.561
- F1 on ncbi_diseasevalidation set self-reported0.531
- Accuracy on ncbi_diseasevalidation set self-reported0.954