--- 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: 0.0851 - Train Accuracy: 0.9713 - Validation Loss: 0.2198 - Validation Accuracy: 0.9390 - 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 | |:----------:|:--------------:|:---------------:|:-------------------:|:-----:| | 0.2404 | 0.9335 | 0.1856 | 0.9359 | 0 | | 0.1386 | 0.9528 | 0.1564 | 0.9445 | 1 | | 0.0851 | 0.9713 | 0.2198 | 0.9390 | 2 | ### Framework versions - Transformers 4.33.2 - TensorFlow 2.13.0 - Datasets 2.14.5 - Tokenizers 0.13.3