---
license: llama2
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-chat-hf
model-index:
- name: model_hh_usp4_400
  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_hh_usp4_400

This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.8447
- Rewards/chosen: -12.8728
- Rewards/rejected: -15.9738
- Rewards/accuracies: 0.6200
- Rewards/margins: 3.1010
- Logps/rejected: -130.8977
- Logps/chosen: -125.8617
- Logits/rejected: -0.9554
- Logits/chosen: -0.9016

## 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0115        | 4.0   | 100  | 2.1095          | -12.3873       | -13.8364         | 0.6200             | 1.4491          | -128.5228      | -125.3223    | -0.2640         | -0.2414       |
| 0.0271        | 8.0   | 200  | 3.0011          | -0.7751        | -1.2662          | 0.5200             | 0.4911          | -114.5559      | -112.4198    | -0.1794         | -0.1752       |
| 0.0029        | 12.0  | 300  | 5.8848          | -30.6815       | -32.8502         | 0.5300             | 2.1687          | -149.6492      | -145.6491    | -0.9305         | -0.8856       |
| 0.0           | 16.0  | 400  | 4.8706          | -12.8599       | -15.9629         | 0.6200             | 3.1030          | -130.8855      | -125.8473    | -0.9564         | -0.9029       |
| 0.0           | 20.0  | 500  | 4.8654          | -12.8852       | -15.9625         | 0.6200             | 3.0773          | -130.8851      | -125.8754    | -0.9556         | -0.9016       |
| 0.0           | 24.0  | 600  | 4.8663          | -12.8617       | -15.9688         | 0.6200             | 3.1071          | -130.8921      | -125.8493    | -0.9551         | -0.9013       |
| 0.0           | 28.0  | 700  | 4.8599          | -12.8977       | -15.9664         | 0.6200             | 3.0686          | -130.8894      | -125.8893    | -0.9553         | -0.9015       |
| 0.0           | 32.0  | 800  | 4.8410          | -12.8636       | -15.9914         | 0.6200             | 3.1277          | -130.9172      | -125.8515    | -0.9553         | -0.9014       |
| 0.0           | 36.0  | 900  | 4.8425          | -12.8856       | -15.9582         | 0.6200             | 3.0726          | -130.8803      | -125.8759    | -0.9551         | -0.9014       |
| 0.0           | 40.0  | 1000 | 4.8447          | -12.8728       | -15.9738         | 0.6200             | 3.1010          | -130.8977      | -125.8617    | -0.9554         | -0.9016       |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2