README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - emotion
metrics:
  - accuracy
model-index:
  - name: bertweet-emotion-base
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: emotion
          type: emotion
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.945

bertweet-emotion-base

This model is a fine-tuned version of Bertweet. It achieves the following results on the evaluation set:

• Loss: 0.1172
• Accuracy: 0.945

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 80
• eval_batch_size: 80
• lr_scheduler_type: linear
• num_epochs: 6.0

Framework versions

• Transformers 4.12.5
• Pytorch 1.10.0+cu113
• Datasets 1.15.1
• Tokenizers 0.10.3