bert-base-spanish-wwm-cased_K4
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: 1.3675
- F1 Macro: 0.8354
- F1: 0.8844
- F1 Neg: 0.7865
- Acc: 0.85
- Prec: 0.8644
- Recall: 0.9053
- Mcc: 0.6727
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: 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
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Model tree for dtorber/bert-base-spanish-wwm-cased_K4
Base model
dccuchile/bert-base-spanish-wwm-cased