metadata
license: cc-by-nc-sa-4.0
base_model: InstaDeepAI/nucleotide-transformer-2.5b-multi-species
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: nucleotide-transformer-finetuned-lora-NucleotideTransformer
results: []
nucleotide-transformer-finetuned-lora-NucleotideTransformer
This model is a fine-tuned version of InstaDeepAI/nucleotide-transformer-2.5b-multi-species on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6652
- F1: 0.8473
- Mcc Score: 0.5631
- Accuracy: 0.7930
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: 0.0005
- train_batch_size: 3
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Mcc Score | Accuracy |
|---|---|---|---|---|---|---|
| 1.4035 | 0.05 | 100 | 0.6460 | 0.7279 | 0.3679 | 0.6875 |
| 1.0673 | 0.11 | 200 | 0.4946 | 0.8437 | 0.5583 | 0.7930 |
| 0.7808 | 0.16 | 300 | 0.6190 | 0.7766 | 0.2749 | 0.6719 |
| 0.8938 | 0.21 | 400 | 2.1858 | 0.0 | 0.0 | 0.3906 |
| 0.9329 | 0.26 | 500 | 0.8452 | 0.8352 | 0.5179 | 0.7656 |
| 0.8721 | 0.32 | 600 | 0.7470 | 0.5286 | 0.2993 | 0.5820 |
| 0.6548 | 0.37 | 700 | 0.6967 | 0.8242 | 0.4769 | 0.75 |
| 0.6719 | 0.42 | 800 | 0.9450 | 0.7913 | 0.4425 | 0.7383 |
| 0.8265 | 0.47 | 900 | 0.5426 | 0.8328 | 0.5234 | 0.7773 |
| 0.5561 | 0.53 | 1000 | 0.6652 | 0.8473 | 0.5631 | 0.7930 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2