biogpt-ner-checkpoint
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: 0.5694
- Recall: 0.5412
- F1: 0.5549
- Accuracy: 0.8275
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: 8
- eval_batch_size: 8
- 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 2.5.1+cu121
- Datasets 3.5.0
- Tokenizers 0.21.1
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Model tree for wu1701/biogpt-ner-checkpoint
Base model
microsoft/biogptDataset used to train wu1701/biogpt-ner-checkpoint
Evaluation results
- Precision on ncbi_diseasevalidation set self-reported0.569
- Recall on ncbi_diseasevalidation set self-reported0.541
- F1 on ncbi_diseasevalidation set self-reported0.555
- Accuracy on ncbi_diseasevalidation set self-reported0.827