metadata

license: apache-2.0
base_model: bert-base-uncased
tags:
  - generated_from_trainer
model-index:
  - name: bert-finetuned-rest-sentiment
    results: []

bert-finetuned-rest-sentiment

This model is a fine-tuned version of bert-base-uncased on an restaurant sentiment 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: 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

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Tokenizers 0.15.0