|
--- |
|
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 |