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esm2_t6_8M_UR50D-finetuned-denovo-classification – AI Model by JohannesKlier | AlphaNeural AI
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JohannesKlier
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esm2_t6_8M_UR50D-finetuned-denovo-classification
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transformers
tf
esm
text-classification
generated_from_keras_callback
facebook/esm2_t6_8M_UR50D
finetune
mit
endpoints_compatible
us
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esm2_t6_8M_UR50D-finetuned-denovo-classification
This model is a fine-tuned version of
facebook/esm2_t6_8M_UR50D
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.0821
Train Accuracy: 0.9769
Validation Loss: 0.0319
Validation Accuracy: 0.9918
Epoch: 0
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': np.float32(2e-05), 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(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
0.0821
0.9769
0.0319
0.9918
0
Framework versions
Transformers 4.57.3
TensorFlow 2.19.0
Datasets 4.0.0
Tokenizers 0.22.1
