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---
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library_name: transformers
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license: apache-2.0
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base_model: bert-base-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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model-index:
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- name: mi-clase-see2025ent
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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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# mi-clase-see2025ent
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3472
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- Accuracy: 0.53
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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: 8
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.3711 | 1.0 | 38 | 1.3176 | 0.47 |
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| 0.8469 | 2.0 | 76 | 1.1336 | 0.54 |
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| 0.5777 | 3.0 | 114 | 1.1880 | 0.54 |
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| 0.5556 | 4.0 | 152 | 1.2859 | 0.52 |
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| 0.1975 | 5.0 | 190 | 1.3610 | 0.55 |
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| 0.2516 | 6.0 | 228 | 1.9845 | 0.5 |
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| 0.0281 | 7.0 | 266 | 2.3607 | 0.47 |
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| 0.0062 | 8.0 | 304 | 2.3559 | 0.51 |
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| 0.0043 | 9.0 | 342 | 2.3073 | 0.54 |
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| 0.0041 | 10.0 | 380 | 2.3472 | 0.53 |
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### Framework versions
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- Transformers 4.53.1
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- Pytorch 2.7.1+cu118
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- Datasets 3.6.0
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- Tokenizers 0.21.2
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