bert-base-spanish-wwm-cased_K2

• Loss: 1.3666
• F1 Macro: 0.8380
• F1: 0.8844
• F1 Neg: 0.7916
• Acc: 0.8512
• Prec: 0.8733
• Recall: 0.8957
• Mcc: 0.6765

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