README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - go_emotions
metrics:
  - accuracy
  - f1
model-index:
  - name: goemotions_bertspannish
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: go_emotions
          type: go_emotions
          config: simplified
          split: test
          args: simplified
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.43
          - name: F1
            type: f1
            value: 0.13822367984075262

goemotions_bertspannish

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on the go_emotions dataset. It achieves the following results on the evaluation set:

• Loss: 2.0321
• Accuracy: 0.43
• F1: 0.1382

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 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3