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llama-2-13b-sft

This model is a fine-tuned version of meta-llama/Llama-2-13b-hf on the None 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: 1.41e-05
  • train_batch_size: 64
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 32
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 32768
  • total_eval_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Framework versions

  • Transformers 4.33.0
  • Pytorch 2.0.0+cu118
  • Datasets 2.10.1
  • Tokenizers 0.13.3
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