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xlnet – AI Model by nadellaroshni | AlphaNeural AI
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nadellaroshni
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xlnet
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transformers
safetensors
xlnet
text-classification
generated_from_trainer
xlnet/xlnet-base-cased
finetune
mit
autotrain_compatible
endpoints_compatible
us
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xlnet
This model is a fine-tuned version of
xlnet/xlnet-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3991
Accuracy: 0.823
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.627
1.0
625
0.4767
0.773
0.4575
2.0
1250
0.3991
0.823
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cpu
Datasets 2.20.0
Tokenizers 0.19.1
