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esm2_t12_35M_UR50D-finetuned-AMP_Antibacteria-classification – AI Model by qunfengd | AlphaNeural AI
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qunfengd
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esm2_t12_35M_UR50D-finetuned-AMP_Antibacteria-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-AMP_Antibacteria-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: 0.1606
Train Accuracy: 0.9325
Validation Loss: 0.6329
Validation Accuracy: 0.7896
Epoch: 4
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
0.3565
0.8359
0.5393
0.7601
0
0.2744
0.8789
0.5657
0.7697
1
0.2267
0.9016
0.5296
0.7885
2
0.1844
0.9247
0.6085
0.7825
3
0.1606
0.9325
0.6329
0.7896
4
Framework versions
Transformers 4.40.1
TensorFlow 2.15.0
Datasets 2.19.1
Tokenizers 0.19.1
