---
license: gemma
base_model: tanliboy/zephyr-gemma-2-9b-sft
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
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
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[<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/igf2ndcz)
# 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: 0.5277
- Rewards/chosen: -0.6084
- Rewards/rejected: -1.2304
- Rewards/accuracies: 0.6880
- Rewards/margins: 0.6220
- Logps/rejected: -407.4499
- Logps/chosen: -375.1572
- Logits/rejected: -14.2928
- Logits/chosen: -14.1056

## 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: 2e-07
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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: 0.1
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6677        | 0.1047 | 100  | 0.6651          | 0.0269         | -0.0301          | 0.6440             | 0.0570          | -287.4193      | -311.6301    | -9.5213         | -9.2788       |
| 0.5915        | 0.2094 | 200  | 0.5920          | -0.3361        | -0.6472          | 0.6880             | 0.3110          | -349.1276      | -347.9349    | -11.9562        | -11.6561      |
| 0.5723        | 0.3141 | 300  | 0.5674          | -0.3955        | -0.7898          | 0.6880             | 0.3943          | -363.3917      | -353.8749    | -12.6873        | -12.4526      |
| 0.5622        | 0.4187 | 400  | 0.5468          | -0.5688        | -1.0827          | 0.6800             | 0.5139          | -392.6759      | -371.2007    | -14.2367        | -13.9401      |
| 0.5441        | 0.5234 | 500  | 0.5363          | -0.6274        | -1.2091          | 0.6680             | 0.5817          | -405.3189      | -377.0607    | -14.3976        | -14.1308      |
| 0.5125        | 0.6281 | 600  | 0.5344          | -0.5757        | -1.1705          | 0.6840             | 0.5948          | -401.4605      | -371.8937    | -14.3713        | -14.1120      |
| 0.5158        | 0.7328 | 700  | 0.5316          | -0.6220        | -1.2328          | 0.6760             | 0.6108          | -407.6867      | -376.5182    | -14.2832        | -14.1010      |
| 0.5133        | 0.8375 | 800  | 0.5278          | -0.6258        | -1.2452          | 0.6800             | 0.6193          | -408.9254      | -376.9043    | -14.2747        | -14.0908      |
| 0.5098        | 0.9422 | 900  | 0.5276          | -0.6043        | -1.2270          | 0.6960             | 0.6227          | -407.1073      | -374.7531    | -14.2849        | -14.1010      |


### Framework versions

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