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esm2_t12_35M_UR50D-finetuned-secondary-structure-classification – AI Model by miangoar | AlphaNeural AI
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miangoar
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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
mit
autotrain_compatible
endpoints_compatible
us
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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: 0.4076
Train Masked Accuracy: 0.8342
Validation Loss: 0.4714
Validation Masked Accuracy: 0.8060
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
0.5874
0.7454
0.4908
0.7962
0
0.4503
0.8156
0.4703
0.8043
1
0.4076
0.8342
0.4714
0.8060
2
Framework versions
Transformers 4.25.1
TensorFlow 2.9.2
Datasets 2.7.1
Tokenizers 0.13.2
