flisol-cba-martin-fierro

This model is a fine-tuned version of DeepESP/gpt2-spanish on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 3.9095

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
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss
5.1028 1.0 9 4.3257
4.2296 2.0 18 4.1607
3.983 3.0 27 4.0513
3.838 4.0 36 3.9989
3.6462 5.0 45 3.9705
3.5612 6.0 54 3.9456
3.432 7.0 63 3.9310
3.3604 8.0 72 3.9196
3.2739 9.0 81 3.9135
3.2296 10.0 90 3.9082
3.1513 11.0 99 3.9078
3.0913 12.0 108 3.9057
3.054 13.0 117 3.9072
2.9832 14.0 126 3.9052
2.9653 15.0 135 3.9060
2.9376 16.0 144 3.9050
2.9133 17.0 153 3.9070
2.917 18.0 162 3.9082
2.8816 19.0 171 3.9093
2.8821 20.0 180 3.9095

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.3.1+cu121
  • Datasets 3.0.1
  • Tokenizers 0.20.1
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