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--- |
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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-secondary-structure-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-secondary-structure-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: 0.4108 |
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- Train Masked Accuracy: 0.8325 |
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- Validation Loss: 0.4586 |
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- Validation Masked Accuracy: 0.8119 |
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- Epoch: 2 |
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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 Masked Accuracy | Validation Loss | Validation Masked Accuracy | Epoch | |
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|:----------:|:---------------------:|:---------------:|:--------------------------:|:-----:| |
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| 0.5809 | 0.7502 | 0.4764 | 0.8023 | 0 | |
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| 0.4534 | 0.8132 | 0.4564 | 0.8115 | 1 | |
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| 0.4108 | 0.8325 | 0.4586 | 0.8119 | 2 | |
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### Framework versions |
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- Transformers 4.25.0.dev0 |
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- TensorFlow 2.10.0 |
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- Datasets 2.6.1 |
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- Tokenizers 0.11.0 |
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