README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - indonlu
metrics:
  - accuracy
model-index:
  - name: indonesia-emotion-roberta
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: indonlu
          type: indonlu
          config: emot
          split: train
          args: emot
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.2

indonesia-emotion-roberta

This model was trained from scratch on the indonlu dataset. It achieves the following results on the evaluation set:

• Loss: 7.2207
• Accuracy: 0.2

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: 2

Training results

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2