| | --- |
| | base_model: dccuchile/bert-base-spanish-wwm-cased |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | - precision |
| | - recall |
| | model-index: |
| | - name: bryan-NM |
| | 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. --> |
| |
|
| | # bryan-NM |
| |
|
| | 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: 1.7199 |
| | - Accuracy: 0.5748 |
| | - F1: 0.5605 |
| | - Precision: 0.5671 |
| | - Recall: 0.5748 |
| |
|
| | ## 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 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 20 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
| | |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:| |
| | | 1.7351 | 1.0 | 3538 | 1.7392 | 0.5337 | 0.4912 | 0.4894 | 0.5337 | |
| | | 1.437 | 2.0 | 7076 | 1.5840 | 0.5612 | 0.5349 | 0.5385 | 0.5612 | |
| | | 1.2189 | 3.0 | 10614 | 1.5880 | 0.5726 | 0.5404 | 0.5349 | 0.5726 | |
| | | 1.0029 | 4.0 | 14152 | 1.6101 | 0.5782 | 0.5657 | 0.5679 | 0.5782 | |
| | | 0.8513 | 5.0 | 17690 | 1.7199 | 0.5748 | 0.5605 | 0.5671 | 0.5748 | |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.39.3 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| |
|