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esm2_t12_35M_UR50D-finetuned-cytosol-membrane-classification – AI Model by kashkomp | AlphaNeural AI
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kashkomp
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esm2_t12_35M_UR50D-finetuned-cytosol-membrane-classification
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transformers
tf
esm
text-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-cytosol-membrane-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: 0.1038
Train Accuracy: 0.9643
Validation Loss: 0.1533
Validation Accuracy: 0.9527
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
0.2410
0.9281
0.1564
0.9527
0
0.1533
0.9498
0.1474
0.9458
1
0.1038
0.9643
0.1533
0.9527
2
Framework versions
Transformers 4.42.4
TensorFlow 2.15.0
Datasets 2.20.0
Tokenizers 0.19.1
