---
license: gemma
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
base_model: tanliboy/zephyr-gemma-2-9b-sft
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: zephyr-gemma-2-9b-dpo-2
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/tanliboy/huggingface/runs/dikk0994)
# zephyr-gemma-2-9b-dpo-2

This model is a fine-tuned version of [tanliboy/zephyr-gemma-2-9b-sft](https://huggingface.co/tanliboy/zephyr-gemma-2-9b-sft) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5628
- Rewards/chosen: -0.7292
- Rewards/rejected: -1.2825
- Rewards/accuracies: 0.6960
- Rewards/margins: 0.5533
- Logps/rejected: -1566.9301
- Logps/chosen: -1043.5624
- Logits/rejected: -14.1720
- Logits/chosen: -14.6638

## 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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6835        | 0.2094 | 50   | 0.6815          | -0.0218        | -0.0436          | 0.6560             | 0.0218          | -328.0053      | -336.0947    | -11.6381        | -11.3403      |
| 0.6243        | 0.4187 | 100  | 0.6229          | -0.5238        | -0.7528          | 0.6600             | 0.2290          | -1037.2136     | -838.1255    | -15.5098        | -15.6787      |
| 0.5625        | 0.6281 | 150  | 0.5793          | -0.7186        | -1.1873          | 0.6880             | 0.4688          | -1471.7362     | -1032.8834   | -14.7746        | -15.1797      |
| 0.5699        | 0.8375 | 200  | 0.5647          | -0.6443        | -1.1499          | 0.6920             | 0.5057          | -1434.3335     | -958.5825    | -14.1861        | -14.6684      |


### Framework versions

- Transformers 4.43.1
- Pytorch 2.3.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_tanliboy__lambda-gemma-2-9b-dpo)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |21.34|
|IFEval (0-Shot)    |45.01|
|BBH (3-Shot)       |35.55|
|MATH Lvl 5 (4-Shot)| 0.00|
|GPQA (0-shot)      | 8.50|
|MuSR (0-shot)      | 7.94|
|MMLU-PRO (5-shot)  |31.02|