README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - Yaxin/SemEval2014Task4Raw
metrics:
  - accuracy
model-index:
  - name: bert-large-uncased-semeval2014-restaurants
    results:
      - task:
          name: Masked Language Modeling
          type: fill-mask
        dataset:
          name: Yaxin/SemEval2014Task4Raw restaurants
          type: Yaxin/SemEval2014Task4Raw
          config: restaurants
          split: validation
          args: restaurants
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.75

bert-large-uncased-semeval2014-restaurants

This model is a fine-tuned version of bert-large-uncased on the Yaxin/SemEval2014Task4Raw restaurants dataset. It achieves the following results on the evaluation set:

• Loss: 0.9624
• Accuracy: 0.75

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