biogpt-finetuned-ner
This model was trained from scratch on the ncbi_disease dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.1302
- eval_model_preparation_time: 0.0048
- eval_precision: 0.4194
- eval_recall: 0.7027
- eval_f1: 0.5253
- eval_accuracy: 0.9828
- eval_runtime: 5.9714
- eval_samples_per_second: 154.737
- eval_steps_per_second: 19.426
- epoch: 0
- step: 0
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 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
- mixed_precision_training: Native AMP
Framework versions
- Transformers 5.5.0
- Pytorch 2.10.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.2
