README.md

metadata

library_name: transformers
license: gemma
base_model: google/gemma-2-9b-it
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: gemma-sft-results
    results: []

gemma-sft-results

This model is a fine-tuned version of google/gemma-2-9b-it on an unknown dataset.

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-06
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Framework versions

• Transformers 4.46.3
• Pytorch 2.4.0+cu121
• Datasets 2.20.0
• Tokenizers 0.20.3