lab7_models
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: 0.3256
- Precision: 0.1321
- Recall: 0.0054
- F1: 0.0104
- Accuracy: 0.9046
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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 4.51.0
- Pytorch 2.1.0+cu121
- Datasets 3.5.0
- Tokenizers 0.21.1
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Model tree for ishdev10/lab7_models
Base model
microsoft/biogptDataset used to train ishdev10/lab7_models
Evaluation results
- Precision on ncbi_diseasevalidation set self-reported0.132
- Recall on ncbi_diseasevalidation set self-reported0.005
- F1 on ncbi_diseasevalidation set self-reported0.010
- Accuracy on ncbi_diseasevalidation set self-reported0.905