---
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_usp3_200
  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_usp3_200

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: 1.8202
- Rewards/chosen: -6.0974
- Rewards/rejected: -8.9863
- Rewards/accuracies: 0.6300
- Rewards/margins: 2.8889
- Logps/rejected: -120.5816
- Logps/chosen: -117.1597
- Logits/rejected: -0.0796
- Logits/chosen: -0.0123

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0           | 8.0   | 100  | 1.8186          | -5.9435        | -8.8369          | 0.6300             | 2.8934          | -120.4156      | -116.9887    | -0.0816         | -0.0143       |
| 0.0           | 16.0  | 200  | 1.8025          | -6.0024        | -8.9192          | 0.6200             | 2.9168          | -120.5071      | -117.0542    | -0.0812         | -0.0142       |
| 0.0           | 24.0  | 300  | 1.7997          | -6.0563        | -8.9882          | 0.6300             | 2.9319          | -120.5837      | -117.1141    | -0.0806         | -0.0133       |
| 0.0           | 32.0  | 400  | 1.8278          | -6.0899        | -8.9796          | 0.6300             | 2.8898          | -120.5742      | -117.1513    | -0.0794         | -0.0122       |
| 0.0           | 40.0  | 500  | 1.8304          | -6.1315        | -9.0197          | 0.6300             | 2.8882          | -120.6187      | -117.1977    | -0.0796         | -0.0128       |
| 0.0           | 48.0  | 600  | 1.8260          | -6.0887        | -8.9905          | 0.6300             | 2.9018          | -120.5863      | -117.1501    | -0.0804         | -0.0131       |
| 0.0           | 56.0  | 700  | 1.8303          | -6.1106        | -8.9877          | 0.6300             | 2.8771          | -120.5832      | -117.1744    | -0.0801         | -0.0132       |
| 0.0           | 64.0  | 800  | 1.8139          | -6.0927        | -8.9885          | 0.6300             | 2.8957          | -120.5840      | -117.1545    | -0.0786         | -0.0117       |
| 0.0           | 72.0  | 900  | 1.8263          | -6.1113        | -8.9822          | 0.6200             | 2.8709          | -120.5770      | -117.1752    | -0.0789         | -0.0120       |
| 0.0           | 80.0  | 1000 | 1.8202          | -6.0974        | -8.9863          | 0.6300             | 2.8889          | -120.5816      | -117.1597    | -0.0796         | -0.0123       |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2