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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_batch64 |
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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_batch64 |
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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: 0.0034 |
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- Accuracy: 0.9994 |
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- Precision: 0.9994 |
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- Recall: 0.9994 |
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- F1: 0.9994 |
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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: 64 |
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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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| 0.0229 | 0.5330 | 500 | 0.0098 | 0.9977 | 0.9977 | 0.9977 | 0.9977 | |
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| 0.0118 | 1.0661 | 1000 | 0.0068 | 0.9986 | 0.9986 | 0.9986 | 0.9986 | |
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| 0.0042 | 1.5991 | 1500 | 0.0067 | 0.9988 | 0.9988 | 0.9988 | 0.9988 | |
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| 0.0041 | 2.1322 | 2000 | 0.0052 | 0.9991 | 0.9991 | 0.9991 | 0.9991 | |
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| 0.0033 | 2.6652 | 2500 | 0.0055 | 0.9989 | 0.9989 | 0.9989 | 0.9989 | |
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| 0.0014 | 3.1983 | 3000 | 0.0052 | 0.9992 | 0.9992 | 0.9992 | 0.9992 | |
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| 0.0005 | 3.7313 | 3500 | 0.0036 | 0.9993 | 0.9993 | 0.9993 | 0.9993 | |
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| 0.0009 | 4.2644 | 4000 | 0.0040 | 0.9993 | 0.9993 | 0.9993 | 0.9993 | |
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| 0.0003 | 4.7974 | 4500 | 0.0034 | 0.9994 | 0.9994 | 0.9994 | 0.9994 | |
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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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