dtorber/bert-base-spanish-wwm-cased_K3

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bert-base-spanish-wwm-cased_K3

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

• —Loss: 1.2472
• —F1 Macro: 0.8544
• —F1: 0.8981
• —F1 Neg: 0.8107
• —Acc: 0.8675
• —Prec: 0.8778
• —Recall: 0.9193
• —Mcc: 0.7106

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
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 15
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

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