esm2_t12_35M_UR50D-finetuned-secondary-structure-classification

This model is a fine-tuned version of facebook/esm2_t12_35M_UR50D on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.4066
• Train Masked Accuracy: 0.8346
• Validation Loss: 0.4547
• Validation Masked Accuracy: 0.8127
• 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 Masked Accuracy	Validation Loss	Validation Masked Accuracy	Epoch
0.5620	0.7652	0.4836	0.8005	0
0.4463	0.8178	0.4737	0.8028	1
0.4066	0.8346	0.4547	0.8127	2

Framework versions

• Transformers 4.44.2
• TensorFlow 2.17.0
• Datasets 3.1.0
• Tokenizers 0.19.1