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esm2_t12_35M_UR50D-finetuned-epitope_100k – AI Model by ambrim | AlphaNeural AI
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esm2_t12_35M_UR50D-finetuned-epitope_100k
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transformers
safetensors
esm
token-classification
generated_from_trainer
facebook/esm2_t12_35M_UR50D
finetune
mit
autotrain_compatible
endpoints_compatible
us
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esm2_t12_35M_UR50D-finetuned-epitope_100k
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: 0.1299
Accuracy: 0.9696
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: 0.0001
train_batch_size: 6
eval_batch_size: 6
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
0.1306
1.0
10312
0.1316
0.9695
0.128
2.0
20624
0.1299
0.9696
0.1223
3.0
30936
0.1306
0.9695
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0
