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esm2_t12_35M_UR50D-pfam-classification – AI Model by keanhean | AlphaNeural AI
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esm2_t12_35M_UR50D-pfam-classification
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transformers
tensorboard
safetensors
esm
text-classification
generated_from_trainer
facebook/esm2_t12_35M_UR50D
finetune
mit
autotrain_compatible
endpoints_compatible
us
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esm2_t12_35M_UR50D-pfam-classification
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: 0.1835
Accuracy: 0.9902
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
267
0.5519
0.9691
0.8087
2.0
534
0.2396
0.9887
0.8087
3.0
801
0.1835
0.9902
Framework versions
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
