---
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_shp4_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_shp4_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: 1.4445
- Rewards/chosen: -0.1401
- Rewards/rejected: -1.3796
- Rewards/accuracies: 0.6300
- Rewards/margins: 1.2395
- Logps/rejected: -230.1749
- Logps/chosen: -224.4940
- Logits/rejected: -0.7701
- Logits/chosen: -0.7769

## 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  | 1.4330          | -0.1080        | -1.3964          | 0.6200             | 1.2883          | -230.1935      | -224.4584    | -0.7684         | -0.7753       |
| 0.0           | 16.0  | 200  | 1.4371          | -0.0911        | -1.3887          | 0.6400             | 1.2976          | -230.1849      | -224.4396    | -0.7692         | -0.7762       |
| 0.0           | 24.0  | 300  | 1.4477          | -0.1125        | -1.3921          | 0.6200             | 1.2795          | -230.1887      | -224.4634    | -0.7693         | -0.7763       |
| 0.0           | 32.0  | 400  | 1.4521          | -0.1143        | -1.4167          | 0.6200             | 1.3024          | -230.2161      | -224.4653    | -0.7696         | -0.7763       |
| 0.0           | 40.0  | 500  | 1.4631          | -0.1153        | -1.3806          | 0.6200             | 1.2653          | -230.1759      | -224.4665    | -0.7701         | -0.7771       |
| 0.0           | 48.0  | 600  | 1.4455          | -0.1180        | -1.3970          | 0.6300             | 1.2791          | -230.1942      | -224.4695    | -0.7698         | -0.7769       |
| 0.0           | 56.0  | 700  | 1.4292          | -0.0800        | -1.3720          | 0.6100             | 1.2920          | -230.1664      | -224.4273    | -0.7704         | -0.7775       |
| 0.0           | 64.0  | 800  | 1.4434          | -0.0943        | -1.3739          | 0.6200             | 1.2796          | -230.1686      | -224.4432    | -0.7703         | -0.7773       |
| 0.0           | 72.0  | 900  | 1.4493          | -0.1016        | -1.4044          | 0.6100             | 1.3028          | -230.2024      | -224.4513    | -0.7704         | -0.7773       |
| 0.0           | 80.0  | 1000 | 1.4445          | -0.1401        | -1.3796          | 0.6300             | 1.2395          | -230.1749      | -224.4940    | -0.7701         | -0.7769       |


### Framework versions

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