README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - emo
metrics:
  - accuracy
model-index:
  - name: my_awesome_model
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: emo
          type: emo
          config: emo2019
          split: test
          args: emo2019
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.7796333272826285

my_awesome_model

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

• Loss: 0.7348
• Accuracy: 0.7796

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.1224	1.0	1885	0.7348	0.7796

Framework versions

• Transformers 4.35.0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.14.1