metadata
license: cc-by-nc-sa-4.0
base_model: InstaDeepAI/nucleotide-transformer-500m-1000g
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: nucleotide-transformer-500m-1000g-finetuned-human-150bp-dna-classification
results: []
nucleotide-transformer-500m-1000g-finetuned-human-150bp-dna-classification
This model is a fine-tuned version of InstaDeepAI/nucleotide-transformer-500m-1000g on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2793
- Accuracy: 0.9411
- F1: 0.9411
- Precision: 0.9377
- Recall: 0.9445
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: 5e-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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.229 | 1.0 | 3125 | 0.2042 | 0.9187 | 0.9203 | 0.8977 | 0.9440 |
| 0.2019 | 2.0 | 6250 | 0.2176 | 0.9360 | 0.9340 | 0.9590 | 0.9102 |
| 0.0008 | 3.0 | 9375 | 0.2958 | 0.9397 | 0.9395 | 0.9371 | 0.9420 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1