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esm2_t12_35M_qlora_glycosylation_sites_2024-02-14_21-47-37 – AI Model by nidhinthomas | AlphaNeural AI
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esm2_t12_35M_qlora_glycosylation_sites_2024-02-14_21-47-37
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safetensors
generated_from_trainer
facebook/esm2_t12_35M_UR50D
finetune
mit
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esm2_t12_35M_qlora_glycosylation_sites_2024-02-14_21-47-37
This model is a fine-tuned version of
facebook/esm2_t12_35M_UR50D
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0108
Accuracy: 0.9990
Precision: 0.3291
Recall: 0.9951
F1: 0.4946
Auc: 0.9970
Mcc: 0.5720
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:
learning_rate: 0.0003701568055793089
train_batch_size: 36
eval_batch_size: 36
seed: 8893
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
Auc
Mcc
0.0125
1.0
16521
0.0108
0.9990
0.3291
0.9951
0.4946
0.9970
0.5720
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.1
