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yelp_review_classifier – AI Model by sytnaxerror | AlphaNeural AI
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sytnaxerror
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yelp_review_classifier
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
pdelobelle/robbert-v2-dutch-base
finetune
mit
endpoints_compatible
us
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yelp_review_classifier
This model is a fine-tuned version of
pdelobelle/robbert-v2-dutch-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3854
Accuracy: 0.9285
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
0.2854
1.0
2504
0.3173
0.9222
0.1586
2.0
5008
0.3394
0.9263
0.0568
3.0
7512
0.3854
0.9285
Framework versions
Transformers 4.57.1
Pytorch 2.9.1+cu130
Datasets 4.4.1
Tokenizers 0.22.1
