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esm2_t12_35M_UR50D-finetuned-secondary-structure-classification – AI Model by Rocketknight1 | AlphaNeural AI
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esm2_t12_35M_UR50D-finetuned-secondary-structure-classification
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transformers
tf
esm
token-classification
generated_from_keras_callback
autotrain_compatible
endpoints_compatible
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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: 0.4108
Train Masked Accuracy: 0.8325
Validation Loss: 0.4586
Validation Masked Accuracy: 0.8119
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
0.5809
0.7502
0.4764
0.8023
0
0.4534
0.8132
0.4564
0.8115
1
0.4108
0.8325
0.4586
0.8119
2
Framework versions
Transformers 4.25.0.dev0
TensorFlow 2.10.0
Datasets 2.6.1
Tokenizers 0.11.0
