google-bert-finetuned-yelp – AI Model by V1G1L | AlphaNeural AI

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V1G1L/
google-bert-finetuned-yelp

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text-classification

generated_from_trainer

google-bert/bert-base-cased

text-embeddings-inference

endpoints_compatible

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google-bert-finetuned-yelp

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: 0.9674
Accuracy: 0.573

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: 16
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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.972	1.0	2500	0.9674	0.573

Framework versions

Transformers 4.57.6
Pytorch 2.9.1+cu128
Datasets 4.5.0
Tokenizers 0.22.2