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:
eval_loss: 0.1099
eval_precision: 0.7930
eval_recall: 0.8258
eval_f1: 0.8090
eval_accuracy: 0.9669
eval_runtime: 238.8746
eval_samples_per_second: 4.186
eval_steps_per_second: 0.264
epoch: 1.0
step: 313
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: 16
eval_batch_size: 16
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
