---
license: gemma
base_model: google/gemma-2-9b-it
tags:
- alignment-handbook
- trl
- sppo
- generated_from_trainer
- trl
- sppo
- generated_from_trainer
datasets:
- cat-searcher/ultrafeedback-dpo-gemma-2-9b-it-split-1-iter-0-pair
model-index:
- name: gemma-2-9b-it-dpo-iter-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gemma-2-9b-it-dpo-iter-1

This model is a fine-tuned version of [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) on the cat-searcher/ultrafeedback-dpo-gemma-2-9b-it-split-1-iter-0-pair 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: 5e-07
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2.0

### Training results



### Framework versions

- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1