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gemma-sprit-test

This model is a fine-tuned version of google/gemma-7b on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 3.3436
  • eval_runtime: 210.5944
  • eval_samples_per_second: 0.95
  • eval_steps_per_second: 0.237
  • epoch: 0.81
  • step: 1500

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: 1e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Framework versions

  • PEFT 0.9.0
  • Transformers 4.38.1
  • Pytorch 2.1.2
  • Datasets 2.16.0
  • Tokenizers 0.15.2
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