---
library_name: transformers
license: other
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: gemma-2-9b-control-4e-r2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# gemma-2-9b-control-4e-r2

This model is a fine-tuned version of [/data/models/gemma-9b-compl](https://huggingface.co//data/models/gemma-9b-compl) on the ds1, the ds2, the ds3, the ds4, the kalo_opus_1, the claude_instruct, the claude_instruct_2 and the epic_synth_2 datasets.

## 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-06
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 12
- total_train_batch_size: 24
- total_eval_batch_size: 96
- optimizer: Use paged_adamw_8bit 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: 4.0

### Training results



### Framework versions

- Transformers 4.46.1
- Pytorch 2.5.0a0+e000cf0ad9.nv24.10
- Datasets 3.0.2
- Tokenizers 0.20.1