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--- |
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library_name: transformers |
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license: mit |
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base_model: facebook/esm2_t33_650M_UR50D |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- precision |
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- recall |
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model-index: |
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- name: esm2_t33_650M_UR50D-finetuned |
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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_t33_650M_UR50D-finetuned |
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This model is a fine-tuned version of [facebook/esm2_t33_650M_UR50D](https://huggingface.co/facebook/esm2_t33_650M_UR50D) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4409 |
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- Tp: 539 |
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- Tn: 617 |
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- Fp: 47 |
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- Fn: 93 |
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- Accuracy: 0.8920 |
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- Precision: 0.9198 |
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- Recall: 0.8528 |
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- F1-score: 0.8851 |
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- Auc: 0.8910 |
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- Mcc: 0.7854 |
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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: 2e-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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Tp | Tn | Fp | Fn | Accuracy | Precision | Recall | F1-score | Auc | Mcc | |
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|:-------------:|:-----:|:----:|:---------------:|:---:|:---:|:--:|:---:|:--------:|:---------:|:------:|:--------:|:------:|:------:| |
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| 0.393 | 1.0 | 1296 | 0.3616 | 507 | 615 | 49 | 125 | 0.8657 | 0.9119 | 0.8022 | 0.8535 | 0.8642 | 0.7356 | |
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| 0.3052 | 2.0 | 2592 | 0.3159 | 536 | 608 | 56 | 96 | 0.8827 | 0.9054 | 0.8481 | 0.8758 | 0.8819 | 0.7664 | |
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| 0.166 | 3.0 | 3888 | 0.4409 | 539 | 617 | 47 | 93 | 0.8920 | 0.9198 | 0.8528 | 0.8851 | 0.8910 | 0.7854 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
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