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metadata
language:
  - es
license: cc-by-4.0
tags:
  - generated_from_trainer
datasets:
  - jorgeortizfuentes/toxicity_spanish_hate_speech_v2
metrics:
  - f1
base_model: dccuchile/patana-chilean-spanish-bert
model-index:
  - name: hate_speech-dv2-patana-chilean-spanish-bert-8k0iqdv2
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: jorgeortizfuentes/toxicity_spanish_hate_speech_v2
          type: jorgeortizfuentes/toxicity_spanish_hate_speech_v2
          split: validation
        metrics:
          - type: f1
            value: 0.8160919540229885
            name: F1

hate_speech-dv2-patana-chilean-spanish-bert-8k0iqdv2

This model is a fine-tuned version of dccuchile/patana-chilean-spanish-bert on the jorgeortizfuentes/toxicity_spanish_hate_speech_v2 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1628
  • F1: 0.8161

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: 4e-05
  • train_batch_size: 128
  • eval_batch_size: 128
  • seed: 13
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss F1
0.0528 5.0 430 0.1698 0.7376
0.003 10.0 860 0.1628 0.8161

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.13.1
  • Tokenizers 0.13.3