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--- |
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license: mit |
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base_model: facebook/esm2_t12_35M_UR50D |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: esm2_t12_35M_UR50D-finetuned-AMP_Classification_HighAccuracy |
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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_Classification_HighAccuracy |
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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: 0.0059 |
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- Train Accuracy: 0.9981 |
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- Validation Loss: 0.0985 |
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- Validation Accuracy: 0.9769 |
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- Epoch: 9 |
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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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| 0.1093 | 0.9602 | 0.0862 | 0.9702 | 0 | |
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| 0.0626 | 0.9763 | 0.0717 | 0.9723 | 1 | |
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| 0.0372 | 0.9858 | 0.0976 | 0.9713 | 2 | |
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| 0.0204 | 0.9927 | 0.0913 | 0.9771 | 3 | |
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| 0.0121 | 0.9964 | 0.0953 | 0.9769 | 4 | |
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| 0.0109 | 0.9963 | 0.1082 | 0.9752 | 5 | |
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| 0.0085 | 0.9970 | 0.1057 | 0.9728 | 6 | |
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| 0.0063 | 0.9981 | 0.1145 | 0.9736 | 7 | |
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| 0.0051 | 0.9984 | 0.1181 | 0.9755 | 8 | |
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| 0.0059 | 0.9981 | 0.0985 | 0.9769 | 9 | |
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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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