---
license: cc-by-nc-sa-4.0
library_name: peft
tags:
- DNA
- genomics
- generated_from_trainer
base_model: InstaDeepAI/nucleotide-transformer-2.5b-multi-species
model-index:
- name: ecoli-bsubtilis-finetuned-lora-NucleotideTransformer
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# ecoli-bsubtilis-finetuned-lora-NucleotideTransformer

This model is a fine-tuned version of [InstaDeepAI/nucleotide-transformer-2.5b-multi-species](https://huggingface.co/InstaDeepAI/nucleotide-transformer-2.5b-multi-species) on the jacquelinegrimm/ecoli-bsubtilis dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0882
- F1 Score: 0.9721

## 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: 8
- 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 Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4278        | 0.05  | 100  | 0.9650          | 0.8596   |
| 0.3987        | 0.1   | 200  | 0.3144          | 0.9504   |
| 0.2956        | 0.14  | 300  | 0.1939          | 0.9504   |
| 0.3176        | 0.19  | 400  | 0.1423          | 0.9643   |
| 0.2747        | 0.24  | 500  | 0.1104          | 0.9705   |
| 0.1569        | 0.29  | 600  | 0.1003          | 0.9624   |
| 0.239         | 0.33  | 700  | 0.0628          | 0.9737   |
| 0.1457        | 0.38  | 800  | 0.1421          | 0.9611   |
| 0.1239        | 0.43  | 900  | 0.1064          | 0.975    |
| 0.1221        | 0.48  | 1000 | 0.0882          | 0.9721   |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2