| license: cc-by-nc-sa-4.0 | |
| base_model: InstaDeepAI/nucleotide-transformer-500m-1000g | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| - f1 | |
| - precision | |
| - recall | |
| model-index: | |
| - name: nucleotide-transformer-500m-1000g-finetuned-human-150bp-dna-classification | |
| 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. --> | |
| # nucleotide-transformer-500m-1000g-finetuned-human-150bp-dna-classification | |
| This model is a fine-tuned version of [InstaDeepAI/nucleotide-transformer-500m-1000g](https://huggingface.co/InstaDeepAI/nucleotide-transformer-500m-1000g) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.2793 | |
| - Accuracy: 0.9411 | |
| - F1: 0.9411 | |
| - Precision: 0.9377 | |
| - Recall: 0.9445 | |
| ## 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: 5e-05 | |
| - train_batch_size: 16 | |
| - eval_batch_size: 16 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| | |
| | 0.229 | 1.0 | 3125 | 0.2042 | 0.9187 | 0.9203 | 0.8977 | 0.9440 | | |
| | 0.2019 | 2.0 | 6250 | 0.2176 | 0.9360 | 0.9340 | 0.9590 | 0.9102 | | |
| | 0.0008 | 3.0 | 9375 | 0.2958 | 0.9397 | 0.9395 | 0.9371 | 0.9420 | | |
| ### Framework versions | |
| - Transformers 4.35.0 | |
| - Pytorch 2.1.0+cu118 | |
| - Datasets 2.14.6 | |
| - Tokenizers 0.14.1 | |