Prototipo_8_EMI / README.md
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metadata
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
  - generated_from_trainer
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:

  • eval_loss: 0.7554
  • eval_accuracy: 0.6506
  • eval_runtime: 13.3415
  • eval_samples_per_second: 374.771
  • eval_steps_per_second: 7.495
  • epoch: 1.3333
  • step: 3200

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: 50
  • eval_batch_size: 50
  • 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

Framework versions

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