results_bert-base-spanish-wwm-cased

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: 0.3337
• Accuracy: 0.9209
• F1: 0.8454
• Precision: 0.7912
• Recall: 0.9076

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: 3e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	88	0.3111	0.8849	0.7935	0.6928	0.9286
No log	2.0	176	0.3687	0.8809	0.7909	0.6798	0.9454
No log	3.0	264	0.4563	0.8899	0.8029	0.7	0.9412
No log	4.0	352	0.3337	0.9209	0.8454	0.7912	0.9076
No log	5.0	440	0.4174	0.9039	0.8216	0.7367	0.9286

Framework versions

• Transformers 4.56.1
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.0