bert-large-uncased-semeval2016-restaurants

This model is a fine-tuned version of bert-large-uncased on the Yaxin/SemEval2016Task5Raw restaurants_english dataset. It achieves the following results on the evaluation set:

• Loss: 1.0702
• Accuracy: 0.7797

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 30.0

Training results

Framework versions

• Transformers 4.29.0.dev0
• Pytorch 1.13.0
• Datasets 2.11.0
• Tokenizers 0.13.2