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---
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base_model: dccuchile/bert-base-spanish-wwm-cased
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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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- f1
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model-index:
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- name: ABL_trad_2f
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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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# ABL_trad_2f
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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.
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It achieves the following results on the evaluation set:
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- Loss: 0.6589
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- Accuracy: 0.7588
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- F1: 0.7579
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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-06
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 12
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
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| 0.7767 | 1.0 | 4683 | 0.7649 | 0.6539 | 0.6532 |
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| 0.6994 | 2.0 | 9366 | 0.7013 | 0.6922 | 0.6907 |
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| 0.6426 | 3.0 | 14049 | 0.6683 | 0.7106 | 0.7092 |
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| 0.5984 | 4.0 | 18732 | 0.6440 | 0.7226 | 0.7218 |
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| 0.5734 | 5.0 | 23415 | 0.6329 | 0.7301 | 0.7291 |
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| 0.5274 | 6.0 | 28098 | 0.6229 | 0.7364 | 0.7348 |
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| 0.5195 | 7.0 | 32781 | 0.6193 | 0.7444 | 0.7430 |
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| 0.4795 | 8.0 | 37464 | 0.6272 | 0.7486 | 0.7468 |
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| 0.4548 | 9.0 | 42147 | 0.6228 | 0.7498 | 0.7481 |
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| 0.4284 | 10.0 | 46830 | 0.6356 | 0.7534 | 0.7522 |
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| 0.4068 | 11.0 | 51513 | 0.6494 | 0.7550 | 0.7541 |
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| 0.3788 | 12.0 | 56196 | 0.6589 | 0.7588 | 0.7579 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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