---
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_usp1_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_usp1_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: 1.4318
- Rewards/chosen: 1.1781
- Rewards/rejected: -0.7550
- Rewards/accuracies: 0.6400
- Rewards/margins: 1.9331
- Logps/rejected: -116.8458
- Logps/chosen: -108.3717
- Logits/rejected: -0.0587
- Logits/chosen: -0.0585

## 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  | 1.3976          | 1.5497         | -0.4049          | 0.6200             | 1.9546          | -116.4568      | -107.9588    | -0.0493         | -0.0483       |
| 0.0           | 16.0  | 200  | 1.4110          | 1.4142         | -0.5150          | 0.6500             | 1.9292          | -116.5792      | -108.1093    | -0.0538         | -0.0530       |
| 0.0           | 24.0  | 300  | 1.4038          | 1.3748         | -0.6170          | 0.6400             | 1.9918          | -116.6925      | -108.1531    | -0.0554         | -0.0545       |
| 0.0           | 32.0  | 400  | 1.4365          | 1.2965         | -0.6346          | 0.6600             | 1.9311          | -116.7121      | -108.2401    | -0.0555         | -0.0551       |
| 0.0           | 40.0  | 500  | 1.4139          | 1.2582         | -0.6992          | 0.6400             | 1.9574          | -116.7839      | -108.2827    | -0.0582         | -0.0580       |
| 0.0           | 48.0  | 600  | 1.4155          | 1.2234         | -0.7385          | 0.6400             | 1.9619          | -116.8275      | -108.3214    | -0.0572         | -0.0570       |
| 0.0           | 56.0  | 700  | 1.4050          | 1.2174         | -0.7564          | 0.6600             | 1.9738          | -116.8474      | -108.3280    | -0.0586         | -0.0582       |
| 0.0           | 64.0  | 800  | 1.4250          | 1.1984         | -0.7478          | 0.6500             | 1.9462          | -116.8379      | -108.3491    | -0.0589         | -0.0586       |
| 0.0           | 72.0  | 900  | 1.4309          | 1.1891         | -0.7289          | 0.6400             | 1.9180          | -116.8168      | -108.3594    | -0.0588         | -0.0585       |
| 0.0           | 80.0  | 1000 | 1.4318          | 1.1781         | -0.7550          | 0.6400             | 1.9331          | -116.8458      | -108.3717    | -0.0587         | -0.0585       |


### Framework versions

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