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xlnet_regression_corrected – AI Model by NLPProject2023Z | AlphaNeural AI
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xlnet_regression_corrected
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xlnet_regression_corrected
This model is a fine-tuned version of
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3655
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: 0.0005
train_batch_size: 25
eval_batch_size: 25
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
160
0.3655
No log
2.0
320
0.3655
No log
3.0
480
0.3655
0.3548
4.0
640
0.3655
0.3548
5.0
800
0.3655
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
