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--- |
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library_name: transformers |
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base_model: AIRI-Institute/gena-lm-bigbird-base-t2t |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- accuracy |
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model-index: |
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- name: gena-lm-bigbird-base-t2t_ft_BioS74_1kbpHG19_DHSs_H3K27AC_one_shot |
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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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# gena-lm-bigbird-base-t2t_ft_BioS74_1kbpHG19_DHSs_H3K27AC_one_shot |
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This model is a fine-tuned version of [AIRI-Institute/gena-lm-bigbird-base-t2t](https://huggingface.co/AIRI-Institute/gena-lm-bigbird-base-t2t) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0317 |
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- F1 Score: 0.8421 |
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- Precision: 0.8889 |
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- Recall: 0.8 |
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- Accuracy: 0.8421 |
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- Auc: 0.9403 |
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- Prc: 0.9473 |
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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: 1e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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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- num_epochs: 20 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 Score | Precision | Recall | Accuracy | Auc | Prc | |
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|:-------------:|:-------:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|:------:|:------:| |
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| 0.3016 | 13.1579 | 500 | 1.0317 | 0.8421 | 0.8889 | 0.8 | 0.8421 | 0.9403 | 0.9473 | |
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### Framework versions |
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- Transformers 4.46.0.dev0 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.20.0 |
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