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maesneako/ES_corlec_DeepESP-gpt2-spanish

sourceHugging Facemitupdated 4y agoView on Hugging Face
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Model Card

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EScorlecDeepESP-gpt2-spanish

This model is a fine-tuned version of DeepESP/gpt2-spanish on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 4.0360

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: 1e-06
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 200
  • —num_epochs: 7

Training results

Training LossEpochStepValidation Loss
4.24710.420004.2111
4.15030.7940004.1438
4.07491.1960004.1077
4.0241.5980004.0857
3.98551.98100004.0707
3.94652.38120004.0605
3.92772.78140004.0533
3.91593.17160004.0482
3.89183.57180004.0448
3.87893.97200004.0421
3.85894.36220004.0402
3.85544.76240004.0387
3.85095.15260004.0377
3.83895.55280004.0370
3.82885.95300004.0365
3.82936.34320004.0362
3.82026.74340004.0360

Framework versions

  • —Transformers 4.18.0
  • —Pytorch 1.10.1+cu102
  • —Datasets 2.3.2
  • —Tokenizers 0.12.1