---
library_name: transformers
license: gemma
base_model: google/gemma-2-2b-it
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: Samantha-Neongenesis-Gemma2b-v1.0-DPO-TEST
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Samantha-Neongenesis-Gemma2b-v1.0-DPO-TEST

This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-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: 5e-06
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 0.2
- num_epochs: 1

### Framework versions

- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0