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super_cnll_2e_WINNER
userABC123/super_cnll_2e_WINNER
super_cnll_2e_WINNER is a token classification model from userABC123. Use it when you need labels on individual words, such as names. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- May 19, 2026
- Updated
- May 19, 2026
- SHA
- af6701bc
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
super_cnll_2e_WINNER
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
- lr_scheduler_type: linear
- num_epochs: 2
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cpu
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Created
- May 19, 2026
- Updated
- May 19, 2026