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esm2_t12_35M_UR50D-finetuned-secondary-structure-classification – AI Model by turalaksel | AlphaNeural AI
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turalaksel
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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
facebook/esm2_t12_35M_UR50D
finetune
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: 0.4066
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
