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--- |
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base_model: facebook/esm2_t6_8M_UR50D |
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library_name: peft |
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license: mit |
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metrics: |
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- accuracy |
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- precision |
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- recall |
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- f1 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: esm2_t12_35M-lora-binding-sites_2024-07-02_09-26-54 |
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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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# esm2_t6_8M-lora-binding-sites_2024-07-02_09-26-54 |
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This model is a fine-tuned version of [facebook/esm2_t6_8M_UR50D](https://huggingface.co/facebook/esm2_t6_8M_UR50D) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3706 |
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- Accuracy: 0.8880 |
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- Precision: 0.1563 |
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- Recall: 0.7878 |
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- F1: 0.2608 |
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- Auc: 0.8392 |
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- Mcc: 0.3192 |
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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: 0.0005701568055793089 |
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- train_batch_size: 12 |
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- eval_batch_size: 12 |
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- seed: 8893 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 1 |
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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 | Accuracy | Precision | Recall | F1 | Auc | Mcc | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|:------:| |
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| 0.2569 | 1.0 | 14485 | 0.3706 | 0.8880 | 0.1563 | 0.7878 | 0.2608 | 0.8392 | 0.3192 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.40.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
