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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_CombinedPos5Epoch |
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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_CombinedPos5Epoch |
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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: 0.2090 |
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- Train Accuracy: 0.9111 |
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- Validation Loss: 0.5719 |
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- Validation Accuracy: 0.7842 |
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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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| 0.6535 | 0.6007 | 0.6349 | 0.6217 | 0 | |
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| 0.5923 | 0.6721 | 0.5965 | 0.6733 | 1 | |
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| 0.4529 | 0.7850 | 0.5529 | 0.7241 | 2 | |
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| 0.2886 | 0.8738 | 0.5695 | 0.7650 | 3 | |
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| 0.2090 | 0.9111 | 0.5719 | 0.7842 | 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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