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sentenceBert-finetuned-yelp – AI Model by sahilx13 | AlphaNeural AI
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sentenceBert-finetuned-yelp
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transformers
pytorch
safetensors
bert
text-classification
generated_from_trainer
yelp_review_full
google-bert/bert-base-cased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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Model card
Files and Versions
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test_trainer
This model is a fine-tuned version of
bert-base-cased
on the yelp_review_full dataset. It achieves the following results on the evaluation set:
Loss: 1.0457
Accuracy: 0.566
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
No log
1.0
125
1.5741
0.322
No log
2.0
250
1.0899
0.511
No log
3.0
375
1.0457
0.566
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
