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--- |
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license: mit |
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tags: |
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- generated_from_keras_callback |
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base_model: facebook/esm2_t12_35M_UR50D |
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model-index: |
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- name: esm2_t12_35M_UR50D-finetuned-AMP_Antibacteria-classification |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# esm2_t12_35M_UR50D-finetuned-AMP_Antibacteria-classification |
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This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://huggingface.co./facebook/esm2_t12_35M_UR50D) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.1606 |
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- Train Accuracy: 0.9325 |
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- Validation Loss: 0.6329 |
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- Validation Accuracy: 0.7896 |
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- Epoch: 4 |
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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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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.0} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
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| 0.3565 | 0.8359 | 0.5393 | 0.7601 | 0 | |
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| 0.2744 | 0.8789 | 0.5657 | 0.7697 | 1 | |
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| 0.2267 | 0.9016 | 0.5296 | 0.7885 | 2 | |
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| 0.1844 | 0.9247 | 0.6085 | 0.7825 | 3 | |
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| 0.1606 | 0.9325 | 0.6329 | 0.7896 | 4 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- TensorFlow 2.15.0 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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