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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: FNST_trad_2g
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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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# FNST_trad_2g
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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: 0.8657
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- Accuracy: 0.6837
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- F1: 0.6778
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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: 1e-07
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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: 16
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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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| 0.9579 | 1.0 | 3125 | 0.9375 | 0.5919 | 0.5798 |
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| 0.8774 | 2.0 | 6250 | 0.8804 | 0.6252 | 0.6138 |
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| 0.8269 | 3.0 | 9375 | 0.8451 | 0.6401 | 0.6322 |
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| 0.7742 | 4.0 | 12500 | 0.8269 | 0.6491 | 0.6427 |
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| 0.7478 | 5.0 | 15625 | 0.8143 | 0.6590 | 0.6521 |
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| 0.7171 | 6.0 | 18750 | 0.8046 | 0.6616 | 0.6547 |
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| 0.7033 | 7.0 | 21875 | 0.8018 | 0.6662 | 0.6598 |
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| 0.6641 | 8.0 | 25000 | 0.7981 | 0.6733 | 0.6651 |
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| 0.655 | 9.0 | 28125 | 0.8056 | 0.6736 | 0.6668 |
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| 0.6189 | 10.0 | 31250 | 0.8114 | 0.6751 | 0.6688 |
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| 0.5952 | 11.0 | 34375 | 0.8171 | 0.6778 | 0.6718 |
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| 0.5759 | 12.0 | 37500 | 0.8190 | 0.6779 | 0.6733 |
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| 0.536 | 13.0 | 40625 | 0.8297 | 0.6815 | 0.6768 |
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| 0.5282 | 14.0 | 43750 | 0.8351 | 0.6799 | 0.6733 |
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| 0.5146 | 15.0 | 46875 | 0.8632 | 0.6853 | 0.6794 |
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| 0.4846 | 16.0 | 50000 | 0.8657 | 0.6837 | 0.6778 |
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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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