| | --- |
| | base_model: InstaDeepAI/nucleotide-transformer-v2-100m-multi-species |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - f1 |
| | model-index: |
| | - name: vedantM/NucArg_ShortRead |
| | results: [] |
| | --- |
| | |
| | # NucArg: Antibiotic Resistance Detection |
| |
|
| | This model is a fine-tuned version of [InstaDeepAI/nucleotide-transformer-v2-100m-multi-species](https://huggingface.co/InstaDeepAI/nucleotide-transformer-v2-100m-multi-species) on the NucArg dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.675450 |
| | - F1: 0.823285 |
| | - Recall: 0.824769 |
| | - Precision: 0.822969 |
| |
|
| | ## Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 0.000025 |
| | - train_batch_size: 32 |
| | - gradient_accumulation_steps= 8 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - lr_scheduler_type: linear |
| | - training_epoch: 4 |
| |
|
| |
|
