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results – AI Model by gelabgaboo | AlphaNeural AI

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gelabgaboo/
results

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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results

This model is a fine-tuned version of Rostlab/prot_bert_bfd on an unknown 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: 5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 0
gradient_accumulation_steps: 128
total_train_batch_size: 2048
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Tokenizers 0.13.3