gpt2-inst-tuning / README.md
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metadata
license: mit
tags:
  - generated_from_trainer
datasets:
  - lmflow_instruction
model-index:
  - name: 044_inst-tuning_model-gpt_num-epoch-5_init-lr-2e-5_bf-16_blocksize768
    results: []

044_inst-tuning_model-gpt_num-epoch-5_init-lr-2e-5_bf-16_blocksize768

This model is a fine-tuned version of gpt2 on the lmflow_instruction dataset.

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: 2e-05
  • train_batch_size: 64
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • total_train_batch_size: 512
  • total_eval_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5.0

Training results

Framework versions

  • Transformers 4.27.0.dev0
  • Pytorch 2.0.0+cu117
  • Datasets 2.10.1
  • Tokenizers 0.13.2