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imdb_xlnet_base_cased – AI Model by Siki-77 | AlphaNeural AI
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imdb_xlnet_base_cased
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imdb_xlnet_base_cased
This model is a fine-tuned version of
xlnet-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2643
Accuracy: 0.9452
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2441
1.0
6250
0.2643
0.9452
Framework versions
PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.2.1
Datasets 2.18.0
Tokenizers 0.15.2
