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Gemma 2B Intruct Alpaca

This model is a fine-tuned version of google/gemma-1.1-2b-it on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6531

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0002
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
0.623 0.9999 2500 0.6531

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.1
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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