metadata
library_name: transformers
license: cc-by-nc-sa-4.0
base_model: InstaDeepAI/nucleotide-transformer-500m-human-ref
tags:
- generated_from_trainer
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-500m-human-ref on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2358
- F1 Score: 0.9363
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Score |
|---|---|---|---|---|
| 0.6471 | 0.0158 | 100 | 0.3372 | 0.8961 |
| 0.3843 | 0.0316 | 200 | 0.2311 | 0.9029 |
| 0.3449 | 0.0474 | 300 | 0.2503 | 0.9145 |
| 0.3466 | 0.0632 | 400 | 0.2059 | 0.9211 |
| 0.2615 | 0.0790 | 500 | 0.2347 | 0.9281 |
| 0.295 | 0.0948 | 600 | 0.2221 | 0.9199 |
| 0.272 | 0.1107 | 700 | 0.2228 | 0.9303 |
| 0.2507 | 0.1265 | 800 | 0.2339 | 0.9226 |
| 0.2356 | 0.1423 | 900 | 0.2088 | 0.9388 |
| 0.1854 | 0.1581 | 1000 | 0.2358 | 0.9363 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0