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Prototipo_8_EMI

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Prototipo_8_EMI / README.md
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metadata
tags:
  - generated_from_trainer
base_model: dccuchile/bert-base-spanish-wwm-cased
metrics:
  - accuracy
model-index:
  - name: Prototipo_8_EMI
    results: []

Prototipo_8_EMI

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2365
  • Accuracy: 0.7295

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 3e-05
  • train_batch_size: 25
  • eval_batch_size: 25
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 250
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.4573 1.5625 250 0.6276 0.7123
0.1406 3.125 500 0.8153 0.739
0.0483 4.6875 750 1.2365 0.7295

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1