asquevedos
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README.md
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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: 1.
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- Accuracy: 0.
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- F1: 0.
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- Precision: 0.
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- Recall: 0.
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## Model description
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
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### Framework versions
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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: 1.7199
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- Accuracy: 0.5748
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- F1: 0.5605
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- Precision: 0.5671
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- Recall: 0.5748
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## Model description
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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: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 1.7351 | 1.0 | 3538 | 1.7392 | 0.5337 | 0.4912 | 0.4894 | 0.5337 |
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| 1.437 | 2.0 | 7076 | 1.5840 | 0.5612 | 0.5349 | 0.5385 | 0.5612 |
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| 1.2189 | 3.0 | 10614 | 1.5880 | 0.5726 | 0.5404 | 0.5349 | 0.5726 |
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| 1.0029 | 4.0 | 14152 | 1.6101 | 0.5782 | 0.5657 | 0.5679 | 0.5782 |
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| 0.8513 | 5.0 | 17690 | 1.7199 | 0.5748 | 0.5605 | 0.5671 | 0.5748 |
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### Framework versions
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 439790024
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