README.md

metadata

library_name: peft
license: gemma
base_model: google/gemma-7b
tags:
  - trl
  - sft
  - generated_from_trainer
datasets:
  - generator
model-index:
  - name: gemma7b-lora-alpaca-11-v1
    results: []

gemma7b-lora-alpaca-11-v1

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

• Loss: 1.6581

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: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 2
• total_train_batch_size: 128
• total_eval_batch_size: 64
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.6561	1.0	140	1.6581

Framework versions

• PEFT 0.13.2
• Transformers 4.46.2
• Pytorch 2.3.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3