modality_classifier_biobert_ROC_v0
This model is a fine-tuned version of dmis-lab/biobert-v1.1 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0609
- eval_roc_auc: 0.9956
- eval_runtime: 15.3385
- eval_samples_per_second: 98.38
- eval_steps_per_second: 6.194
- epoch: 3.0
- step: 2547
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Framework versions
- Transformers 4.39.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for Granoladata/modality_classifier_biobert_ROC_v0
Base model
dmis-lab/biobert-v1.1