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--- |
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license: cc-by-nc-sa-4.0 |
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library_name: peft |
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tags: |
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- DNA |
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- genomics |
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- generated_from_trainer |
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base_model: InstaDeepAI/nucleotide-transformer-2.5b-multi-species |
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model-index: |
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- name: ecoli-bsubtilis-finetuned-lora-NucleotideTransformer |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ecoli-bsubtilis-finetuned-lora-NucleotideTransformer |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0882 |
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- F1 Score: 0.9721 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0005 |
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- train_batch_size: 8 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- training_steps: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 Score | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.4278 | 0.05 | 100 | 0.9650 | 0.8596 | |
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| 0.3987 | 0.1 | 200 | 0.3144 | 0.9504 | |
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| 0.2956 | 0.14 | 300 | 0.1939 | 0.9504 | |
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| 0.3176 | 0.19 | 400 | 0.1423 | 0.9643 | |
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| 0.2747 | 0.24 | 500 | 0.1104 | 0.9705 | |
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| 0.1569 | 0.29 | 600 | 0.1003 | 0.9624 | |
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| 0.239 | 0.33 | 700 | 0.0628 | 0.9737 | |
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| 0.1457 | 0.38 | 800 | 0.1421 | 0.9611 | |
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| 0.1239 | 0.43 | 900 | 0.1064 | 0.975 | |
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| 0.1221 | 0.48 | 1000 | 0.0882 | 0.9721 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
