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--- |
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library_name: transformers |
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license: cc-by-4.0 |
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base_model: dccuchile/tulio-chilean-spanish-bert |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: Gestionabilidad-v2_batch32 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Gestionabilidad-v2_batch32 |
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This model is a fine-tuned version of [dccuchile/tulio-chilean-spanish-bert](https://huggingface.co/dccuchile/tulio-chilean-spanish-bert) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8143 |
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- Accuracy: 0.8451 |
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- Precision: 0.8438 |
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- Recall: 0.8451 |
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- F1: 0.8443 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 0.5652 | 0.4292 | 400 | 0.5002 | 0.8044 | 0.8041 | 0.8044 | 0.8037 | |
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| 0.4494 | 0.8584 | 800 | 0.4102 | 0.8337 | 0.8341 | 0.8337 | 0.8338 | |
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| 0.3439 | 1.2876 | 1200 | 0.4437 | 0.8268 | 0.8427 | 0.8268 | 0.8286 | |
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| 0.3099 | 1.7167 | 1600 | 0.4289 | 0.8369 | 0.8387 | 0.8369 | 0.8375 | |
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| 0.26 | 2.1459 | 2000 | 0.4758 | 0.8405 | 0.8422 | 0.8405 | 0.8413 | |
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| 0.1838 | 2.5751 | 2400 | 0.5046 | 0.8384 | 0.8416 | 0.8384 | 0.8388 | |
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| 0.1733 | 3.0043 | 2800 | 0.4968 | 0.8378 | 0.8390 | 0.8378 | 0.8371 | |
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| 0.0997 | 3.4335 | 3200 | 0.6251 | 0.8412 | 0.8397 | 0.8412 | 0.8403 | |
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| 0.102 | 3.8627 | 3600 | 0.6324 | 0.8496 | 0.8504 | 0.8496 | 0.8499 | |
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| 0.0719 | 4.2918 | 4000 | 0.7935 | 0.8455 | 0.8463 | 0.8455 | 0.8449 | |
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| 0.0576 | 4.7210 | 4400 | 0.8143 | 0.8451 | 0.8438 | 0.8451 | 0.8443 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
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