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Armandodelca/Prototipo_4_EMI

sourceHugging Faceupdated 2y agoView on Hugging Face
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Model Card

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Prototipo4EMI

This model is a fine-tuned version of dccuchile/distilbert-base-spanish-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.0406
  • —Accuracy: 0.5567

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: 2e-05
  • —trainbatchsize: 50
  • —evalbatchsize: 50
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —num_epochs: 5
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
1.31180.37042001.26600.4457
1.08280.74074001.07570.5203
1.01451.11116001.03800.534
0.99551.48158001.01840.5377
0.94491.851910000.99440.5507
0.91432.222212001.00770.5533
0.86092.592614001.01040.5473
0.8822.963016001.00370.5507
0.80493.333318001.02020.5593
0.80453.703720001.02340.5503
0.784.074122001.02800.5593
0.76514.444424001.04110.5583
0.73014.814826001.04060.5567

Framework versions

  • —Transformers 4.40.1
  • —Pytorch 2.2.1+cu121
  • —Datasets 2.19.0
  • —Tokenizers 0.19.1