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openai_gpt

This model is a fine-tuned version of openai-community/gpt2-medium on the daily_dialog dataset.

Model description

Intended uses & limitations

The model can be used for friendly conversations

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0025
  • train_batch_size: 3
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 6
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.03
  • training_steps: 200

Training results

  • Training Loss : 2.113900

Framework versions

  • PEFT 0.9.1.dev0
  • Transformers 4.38.2
  • Pytorch 2.0.0
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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Dataset used to train SSahas/openai_gpt2_med_convai