dtorber/PAN-2024-transformer-base_bert-base-spanish-wwm-cased_K2

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PAN-2024-transformer-basebert-base-spanish-wwm-casedK2

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: 0.6218
• —F1 Macro: 0.3333
• —F1: 0.6667
• —F1 Neg: 0.0
• —Acc: 0.5
• —Prec: 0.5
• —Recall: 1.0
• —Mcc: 0.0

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: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

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