README.md

---
library_name: transformers
license: gemma
base_model: google/gemma-2-9b-it
tags:
- llama-factory
- full
- trl
- dpo
- llama-factory
- generated_from_trainer
model-index:
- name: model
  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. -->

# model

This model is a fine-tuned version of [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) on the cdc0b2d9-493b-4cb1-87e8-8fb1e3f4b247 dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9434
- Rewards/chosen: -46.0543
- Rewards/rejected: -47.7041
- Rewards/accuracies: 0.6473
- Rewards/margins: 1.6497
- Logps/rejected: -4.7704
- Logps/chosen: -4.6054
- Logits/rejected: 14.6796
- Logits/chosen: 14.4459

## 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: 8e-07
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 32
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 3.9873        | 1.0   | 7344 | 3.9434          | -46.0543       | -47.7041         | 0.6473             | 1.6497          | -4.7704        | -4.6054      | 14.6796         | 14.4459       |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.3.0
- Datasets 2.21.0
- Tokenizers 0.20.2