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bert-base-yelp-sentiment – AI Model by zzplus1 | AlphaNeural AI
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zzplus1
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bert-base-yelp-sentiment
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
endpoints_compatible
us
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Model card
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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: 1.0567
Accuracy: 0.578
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
125
1.0798
0.528
No log
2.0
250
1.0383
0.554
No log
3.0
375
1.0567
0.578
Framework versions
Transformers 4.57.0
Pytorch 2.8.0+cpu
Datasets 4.1.1
Tokenizers 0.22.1
