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stonedsmv/GPT-2-LORA-peft

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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GPT-2-LORA-peft

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

  • Loss: 1.9035
  • Accuracy: 0.2451

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: 5e-05
  • trainbatchsize: 10
  • evalbatchsize: 10
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 8

Training results

Training LossEpochStepValidation LossAccuracy
No log1.0712.10700.2059
No log2.01421.95410.2353
No log3.02131.93010.2451
No log4.02841.91790.2451
No log5.03551.91160.2451
No log6.04261.90670.2402
No log7.04971.90410.2402
2.10378.05681.90350.2451

Framework versions

  • PEFT 0.12.0
  • Transformers 4.44.0
  • Pytorch 2.4.0+cu124
  • Datasets 2.21.0
  • Tokenizers 0.19.1