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train_2024-07-16-09-46-28_llama3

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the truth_train_0716 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: 5e-06
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 128
  • total_eval_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 10
  • num_epochs: 5.0

Training results

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.3.0a0+ebedce2
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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