---
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: []
---

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# 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](https://huggingface.co/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