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AGT_Roberta – AI Model by James-kc-min | AlphaNeural AI
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AGT_Roberta
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transformers
pytorch
roberta
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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AGT_Roberta
This model is a fine-tuned version of
distilroberta-base
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: 5e-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
mixed_precision_training: Native AMP
Framework versions
Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 1.16.0
Tokenizers 0.12.1
