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RRS – AI Model by Gnanesh5 | AlphaNeural AI
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Gnanesh5
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RRS
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transformers
pytorch
xlnet
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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RRS
This model is a fine-tuned version of
xlnet-base-cased
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: 4e-05
train_batch_size: 8
eval_batch_size: 8
seed: 0
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2
