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test_trainer_XLNET_3ep_5e-5 – AI Model by Nhat1904 | AlphaNeural AI
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Nhat1904
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test_trainer_XLNET_3ep_5e-5
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transformers
pytorch
tensorboard
xlnet
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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test_trainer_XLNET_3ep_5e-5
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: 0.5405
Accuracy: 0.8773
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
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
Accuracy
0.7984
1.0
1125
0.6647
0.7923
0.5126
2.0
2250
0.4625
0.862
0.409
3.0
3375
0.5405
0.8773
Framework versions
Transformers 4.25.1
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
