| --- |
| base_model: dccuchile/bert-base-spanish-wwm-cased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| - recall |
| model-index: |
| - name: bert-base-spanish-wwm-cased_K2 |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # bert-base-spanish-wwm-cased_K2 |
| |
| This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.3666 |
| - F1 Macro: 0.8380 |
| - F1: 0.8844 |
| - F1 Neg: 0.7916 |
| - Acc: 0.8512 |
| - Prec: 0.8733 |
| - Recall: 0.8957 |
| - Mcc: 0.6765 |
| |
| ## 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 |
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| ### Framework versions |
|
|
| - Transformers 4.37.2 |
| - Pytorch 2.2.0+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.2 |
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|
