Edit model card

gpt-neox-20b-8k-longtuning2

This model was finetuned on books.

Model description

Base model is GPT-Neox-20B as indicated in the name.

Intended uses & limitations

Research and development

Training and evaluation data

N/A

Training procedure

Running run_clm on the book dataset

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 4
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 256
  • total_eval_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 100000

Framework versions

  • Transformers 4.27.4
  • Pytorch 2.0.0
  • Datasets 2.11.0
  • Tokenizers 0.11.0
Downloads last month
3