| | --- |
| | base_model: dccuchile/bert-base-spanish-wwm-uncased |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | - precision |
| | - recall |
| | model-index: |
| | - name: roberta-academic |
| | 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. --> |
| |
|
| | # roberta-academic |
| |
|
| | This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1070 |
| | - Accuracy: 0.9692 |
| | - F1: 0.9687 |
| | - Precision: 0.9692 |
| | - Recall: 0.9692 |
| |
|
| | ## 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: 5e-05 |
| | - train_batch_size: 34 |
| | - eval_batch_size: 34 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
| | |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:| |
| | | 0.3143 | 1.0 | 10831 | 0.2892 | 0.9106 | 0.9070 | 0.9137 | 0.9106 | |
| | | 0.2042 | 2.0 | 21662 | 0.1880 | 0.9388 | 0.9366 | 0.9415 | 0.9388 | |
| | | 0.121 | 3.0 | 32493 | 0.1437 | 0.9552 | 0.9545 | 0.9560 | 0.9552 | |
| | | 0.0843 | 4.0 | 43324 | 0.1152 | 0.9655 | 0.9651 | 0.9658 | 0.9655 | |
| | | 0.049 | 5.0 | 54155 | 0.1070 | 0.9692 | 0.9687 | 0.9692 | 0.9692 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.39.3 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| |
|
