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llama2-7b-chat-guanaco-llama2-1k-flashatn2-w-packing

This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3060

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: 0.0002
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
1.3325 1.0 187 1.2945
1.1619 2.0 374 1.2942
1.071 3.0 561 1.3060

Framework versions

  • PEFT 0.8.2
  • Transformers 4.38.0.dev0
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.2.dev0
  • Tokenizers 0.15.2
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