gemma-7b-sft-full-longest-1k-v1

This model is a fine-tuned version of google/gemma-7b on the HuggingFaceH4/OpenHermes-2.5-1k-longest dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0137

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: 2e-05
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 4
  • 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
  • num_epochs: 15

Training results

Training Loss Epoch Step Validation Loss
1.9689 5.0 30 1.4644
1.1624 10.0 60 1.0363
1.0662 15.0 90 1.0137

Framework versions

  • Transformers 4.39.0.dev0
  • Pytorch 2.1.2+cu121
  • Datasets 2.14.6
  • Tokenizers 0.15.1
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