README.md

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