--- license: mit base_model: facebook/esm2_t12_35M_UR50D tags: - generated_from_keras_callback model-index: - name: esm2_t12_35M_UR50D-finetuned-cytosol-membrane-classification results: [] --- # esm2_t12_35M_UR50D-finetuned-cytosol-membrane-classification 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. It achieves the following results on the evaluation set: - Train Loss: 0.0918 - Train Accuracy: 0.9694 - Validation Loss: 0.1640 - Validation Accuracy: 0.9495 - Epoch: 2 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - 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} - training_precision: float32 ### Training results | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |:----------:|:--------------:|:---------------:|:-------------------:|:-----:| | 0.2427 | 0.9271 | 0.1663 | 0.9464 | 0 | | 0.1468 | 0.9538 | 0.1505 | 0.9495 | 1 | | 0.0918 | 0.9694 | 0.1640 | 0.9495 | 2 | ### Framework versions - Transformers 4.40.1 - TensorFlow 2.15.0 - Datasets 2.19.0 - Tokenizers 0.19.1