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esm2_t12_35M_UR50D-finetuned-localization – AI Model by soldatmat | AlphaNeural AI
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esm2_t12_35M_UR50D-finetuned-localization
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transformers
pytorch
esm
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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esm2_t12_35M_UR50D-finetuned-localization
This model is a fine-tuned version of
facebook/esm2_t12_35M_UR50D
on the None dataset.
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
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cpu
Datasets 2.13.1
Tokenizers 0.13.3
