bert-base-spanish-wwm-cased_K1

• Loss: 1.4020
• F1 Macro: 0.8387
• F1: 0.8859
• F1 Neg: 0.7915
• Acc: 0.8525
• Prec: 0.8707
• Recall: 0.9016
• Mcc: 0.6784

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 15
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.2