End of training
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README.md
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---
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tags:
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- generated_from_trainer
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base_model: dccuchile/bert-base-spanish-wwm-cased
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metrics:
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- accuracy
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model-index:
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- name: Prototipo_8_EMI
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results: []
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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 the None dataset.
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It achieves the following results on the evaluation set:
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size:
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- eval_batch_size:
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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: cosine
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 0.4573 | 1.5625 | 250 | 0.6276 | 0.7123 |
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| 0.1406 | 3.125 | 500 | 0.8153 | 0.739 |
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| 0.0483 | 4.6875 | 750 | 1.2365 | 0.7295 |
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### Framework versions
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- Transformers 4.40.2
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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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model-index:
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- name: Prototipo_8_EMI
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results: []
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.7554
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- eval_accuracy: 0.6506
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- eval_runtime: 13.3415
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- eval_samples_per_second: 374.771
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- eval_steps_per_second: 7.495
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- epoch: 1.3333
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- step: 3200
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 50
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- eval_batch_size: 50
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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: cosine
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.40.2
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model.safetensors
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