gameofdimension / lora-cs324-length-control

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Model's Last Updated: July 10 2023

Introduction of lora-cs324-length-control

Model Details of lora-cs324-length-control

lora-cs324-length-control

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

  • Loss: 3.2118
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: 0.0005
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 1
Training results
Training Loss Epoch Step Validation Loss
3.5584 0.16 500 3.2567
3.392 0.32 1000 3.2473
3.3584 0.48 1500 3.2290
3.3115 0.64 2000 3.2196
3.3041 0.8 2500 3.2126
3.3024 0.96 3000 3.2118
Framework versions
  • Transformers 4.30.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3

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