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XLNET_SQuaD_FineTuned_v2 – AI Model by mylas02 | AlphaNeural AI
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XLNET_SQuaD_FineTuned_v2
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transformers
tensorboard
safetensors
xlnet
question-answering
generated_from_trainer
mit
endpoints_compatible
us
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XLNET_SQuaD_FineTuned_v2
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Framework versions
Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
