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yelp_review_classifier – AI Model by confusus | AlphaNeural AI
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confusus
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yelp_review_classifier
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transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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yelp_review_classifier
This model is a fine-tuned version of
google-bert/bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7974
Accuracy: 0.6654
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.8737
1.0
81250
0.8881
0.6412
0.7586
2.0
162500
0.8153
0.6588
0.7261
3.0
243750
0.7974
0.6654
Framework versions
Transformers 4.44.2
Pytorch 2.5.1+cu118
Datasets 3.3.2
Tokenizers 0.19.1
