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gpt2_oasst2_curated_onnx

This model is a fine-tuned version of gpt2 on sablo/oasst2_curated dataset

Model description

For experimental purpose - chatbot

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
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 20
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.0.0
  • Datasets 2.16.1
  • Tokenizers 0.15.0
  • optimum 1.13.2
  • onnx 1.13.1
  • onnxruntime 1.15.1
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Dataset used to train shi-zheng-qxhs/gpt2_oasst2_curated_onnx