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caraboy/Julio-Cortazar

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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Julio-Cortazar

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: 2.8513

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: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 4

Training results

Training LossEpochStepValidation Loss
2.91091.014162.9021
2.76482.028322.8566
2.37453.042482.8494
2.37274.056642.8513

Framework versions

  • —Transformers 4.33.2
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.5
  • —Tokenizers 0.13.3
caraboy/Julio-Cortazar · CoolFace