metadata

library_name: transformers
license: gemma
base_model: google/gemma-2-9b
tags:
  - generated_from_trainer
datasets:
  - customized
model-index:
  - name: >-
      databricks-dolly-15k_epoch-1_muon_lr-3e-5_momentum-0.9_lr-sched-cosine_model-gemma-2-9b_batch-size-128x1_seed-42
    results: []

databricks-dolly-15k_epoch-1_muon_lr-3e-5_momentum-0.9_lr-sched-cosine_model-gemma-2-9b_batch-size-128x1_seed-42

This model is a fine-tuned version of google/gemma-2-9b on the customized 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: 3e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 1.0

Training results

Framework versions

Transformers 4.51.3
Pytorch 2.7.0+cu126
Datasets 3.5.1
Tokenizers 0.21.1