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bert-base-cased_fine_tuned

Text Classification

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text-embeddings-inference

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bert-base-cased_fine_tuned

This model is a fine-tuned version of google-bert/bert-base-cased on the yelp_review_full dataset.

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	313	0.9228	0.6564

Framework versions

Transformers 4.38.1
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2

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Safetensors

Model size

0.1B params

Tensor type

F32

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Model tree for yousseftarhri/bert-base-cased_fine_tuned

Base model

google-bert/bert-base-cased

Finetuned

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this model

Dataset used to train yousseftarhri/bert-base-cased_fine_tuned