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esm2_t6_8M_UR50D-finetuned-localization – AI Model by MinasH | AlphaNeural AI
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MinasH
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esm2_t6_8M_UR50D-finetuned-localization
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transformers
pytorch
tensorboard
esm
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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esm2_t6_8M_UR50D-finetuned-localization
This model is a fine-tuned version of
facebook/esm2_t6_8M_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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
479
0.1969
0.9467
Framework versions
Transformers 4.29.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
