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esm2_t12_35M_UR50D-finetuned-binding-classification – AI Model by lovegemini63 | AlphaNeural AI
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lovegemini63
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esm2_t12_35M_UR50D-finetuned-binding-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-binding-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: 0.4948
Train Accuracy: 0.7534
Validation Loss: 0.5392
Validation Accuracy: 0.7253
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
0.5196
0.7364
0.5415
0.7249
0
0.5037
0.7469
0.5433
0.7277
1
0.4948
0.7534
0.5392
0.7253
2
Framework versions
Transformers 4.33.2
TensorFlow 2.13.0
Datasets 2.14.5
Tokenizers 0.13.3
