---
base_model: models/zephyr-gemma-2-9b-sft-4k
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-4k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# zephyr-gemma-2-9b-dpo-4k

This model is a fine-tuned version of [models/zephyr-gemma-2-9b-sft-4k](https://huggingface.co/models/zephyr-gemma-2-9b-sft-4k) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5439
- Rewards/chosen: -0.9090
- Rewards/rejected: -1.4174
- Rewards/accuracies: 0.6720
- Rewards/margins: 0.5084
- Logps/rejected: -488.0301
- Logps/chosen: -459.7270
- Logits/rejected: -11.0859
- Logits/chosen: -11.3601

## 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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- 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: 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6273        | 0.2094 | 100  | 0.6256          | -0.2308        | -0.3911          | 0.6800             | 0.1603          | -385.3994      | -391.9051    | -8.7457         | -9.0867       |
| 0.5701        | 0.4187 | 200  | 0.5679          | -0.7323        | -1.1248          | 0.6800             | 0.3925          | -458.7671      | -442.0617    | -10.9305        | -11.1970      |
| 0.5398        | 0.6281 | 300  | 0.5491          | -0.8992        | -1.3693          | 0.6840             | 0.4700          | -483.2173      | -458.7530    | -11.3540        | -11.5217      |
| 0.54          | 0.8375 | 400  | 0.5449          | -0.9048        | -1.4075          | 0.6760             | 0.5028          | -487.0408      | -459.3047    | -11.1294        | -11.3851      |


### Framework versions

- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1