---
library_name: peft
license: llama2
base_model: meta-llama/Llama-2-7b-hf
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: Llama-2-7b-hf-DPO-LookAhead-5_Q2_TTree1.4_TT0.9_TP0.7_TE0.2_V4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama-2-7b-hf-DPO-LookAhead-5_Q2_TTree1.4_TT0.9_TP0.7_TE0.2_V4

This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6849
- Rewards/chosen: -1.3255
- Rewards/rejected: -1.6674
- Rewards/accuracies: 0.5
- Rewards/margins: 0.3419
- Logps/rejected: -134.9012
- Logps/chosen: -95.5139
- Logits/rejected: 0.0033
- Logits/chosen: 0.1072

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.7204        | 0.3043 | 63   | 0.6808          | 0.0801         | 0.0519           | 0.7000             | 0.0281          | -117.7079      | -81.4587     | 0.4903          | 0.5915        |
| 0.6989        | 0.6087 | 126  | 0.6930          | 0.0550         | 0.0726           | 0.6000             | -0.0176         | -117.5013      | -81.7093     | 0.4748          | 0.5762        |
| 0.6896        | 0.9130 | 189  | 0.6579          | 0.1170         | 0.0536           | 0.5                | 0.0633          | -117.6909      | -81.0896     | 0.4569          | 0.5574        |
| 0.3332        | 1.2174 | 252  | 0.6831          | -0.2141        | -0.2394          | 0.5                | 0.0253          | -120.6211      | -84.4000     | 0.3842          | 0.4834        |
| 0.3687        | 1.5217 | 315  | 0.7069          | -0.6436        | -0.7406          | 0.5                | 0.0970          | -125.6332      | -88.6952     | 0.2816          | 0.3799        |
| 0.2083        | 1.8261 | 378  | 0.6389          | -0.4156        | -0.5567          | 0.5                | 0.1411          | -123.7943      | -86.4158     | 0.2329          | 0.3317        |
| 0.1191        | 2.1304 | 441  | 0.6451          | -0.8600        | -1.1248          | 0.5                | 0.2648          | -129.4748      | -90.8590     | 0.1067          | 0.2079        |
| 0.1435        | 2.4348 | 504  | 0.6878          | -1.2620        | -1.5788          | 0.5                | 0.3168          | -134.0153      | -94.8793     | 0.0284          | 0.1320        |
| 0.0848        | 2.7391 | 567  | 0.6849          | -1.3255        | -1.6674          | 0.5                | 0.3419          | -134.9012      | -95.5139     | 0.0033          | 0.1072        |


### Framework versions

- PEFT 0.12.0
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3