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clasificador-muchocine-Tinasversion

This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4232
  • Accuracy: 0.4335

Model description

Tokenized with Electricidad

Intended uses & limitations

Model trained as part of the coding practices of the program in Machine Learning - Master Degree in NLP and AI - Universidad de la Rioja

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 388 1.3638 0.3884
1.4276 2.0 776 1.3162 0.4284
1.0209 3.0 1164 1.4232 0.4335

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0
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Dataset used to train Tinaenhugging/clasificador-muchocine-Tinasversion