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XLNET – AI Model by JiayanL | AlphaNeural AI
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JiayanL
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XLNET
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transformers
tensorboard
safetensors
xlnet
question-answering
generated_from_trainer
xlnet/xlnet-base-cased
finetune
mit
endpoints_compatible
us
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xlnet
This model is a fine-tuned version of
xlnet-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8759
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.1873
1.0
2777
0.8810
0.7592
2.0
5554
0.8365
0.6161
3.0
8331
0.8759
Framework versions
Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1
