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Finetuning_XLNET_Paraphrase_Classification – AI Model by ahmed792002 | AlphaNeural AI
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Finetuning_XLNET_Paraphrase_Classification
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transformers
tensorboard
safetensors
xlnet
text-classification
generated_from_trainer
xlnet/xlnet-base-cased
finetune
mit
autotrain_compatible
endpoints_compatible
us
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Finetuning_XLNET_Paraphrase_Classification
This model is a fine-tuned version of
xlnet-base-cased
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
