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restaurants-reviews – AI Model by Esmarguz | AlphaNeural AI
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Esmarguz
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restaurants-reviews
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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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restaurants-reviews
This model is a fine-tuned version of
bert-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.3579
Model Preparation Time: 0.0034
Accuracy: 0.1818
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Model Preparation Time
Accuracy
No log
1.0
6
2.3591
0.0034
0.1818
2.1236
2.0
12
2.3392
0.0034
0.2727
2.1236
3.0
18
2.3579
0.0034
0.1818
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
