Edit model card

spanish-offensive-language-bert-base-spanish-wwm-cased

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

  • Loss: 0.7753
  • F1: 0.5861

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: 48
  • eval_batch_size: 48
  • seed: 13
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss F1
0.6383 1.0 166 0.6105 0.4916
0.5779 2.0 332 0.6027 0.5531
0.4791 3.0 498 0.6503 0.5852
0.3626 4.0 664 0.7753 0.5861
0.2758 5.0 830 0.8416 0.5856

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.1.1+cu121
  • Datasets 2.15.0
  • Tokenizers 0.13.3
Downloads last month
11
Safetensors
Model size
110M params
Tensor type
I64
·
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Evaluation results

  • F1 on jorgeortizfuentes/spanish-offensive-language
    self-reported
    0.586