---
base_model: meta-llama/Llama-2-7b-hf
library_name: peft
license: llama2
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: Llama-2-7b-hf-DPO-LookAhead-5_TTree1.4_TT0.9_TP0.7_TE0.2_V3
  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_TTree1.4_TT0.9_TP0.7_TE0.2_V3

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: 1.2551
- Rewards/chosen: -2.5518
- Rewards/rejected: -2.2604
- Rewards/accuracies: 0.25
- Rewards/margins: -0.2914
- Logps/rejected: -124.4866
- Logps/chosen: -113.4918
- Logits/rejected: -0.2003
- Logits/chosen: -0.1939

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.7369        | 0.3016 | 76   | 0.7203          | 0.0395         | 0.0671           | 0.5                | -0.0275         | -101.2117      | -87.5782     | 0.3635          | 0.3676        |
| 0.7346        | 0.6032 | 152  | 0.7779          | 0.0272         | 0.0797           | 0.4167             | -0.0525         | -101.0857      | -87.7017     | 0.3423          | 0.3459        |
| 0.5938        | 0.9048 | 228  | 0.7684          | -0.0888        | -0.0049          | 0.25               | -0.0839         | -101.9318      | -88.8616     | 0.3591          | 0.3628        |
| 0.2822        | 1.2063 | 304  | 0.9053          | -0.5756        | -0.3819          | 0.5                | -0.1937         | -105.7012      | -93.7292     | 0.3058          | 0.3097        |
| 0.1938        | 1.5079 | 380  | 0.9300          | -0.8880        | -0.7094          | 0.3333             | -0.1786         | -108.9764      | -96.8538     | 0.2048          | 0.2097        |
| 0.6894        | 1.8095 | 456  | 1.0636          | -1.7609        | -1.5117          | 0.3333             | -0.2492         | -116.9998      | -105.5827    | 0.0583          | 0.0644        |
| 0.2845        | 2.1111 | 532  | 0.9900          | -1.5299        | -1.4094          | 0.3333             | -0.1206         | -115.9760      | -103.2727    | -0.0017         | 0.0048        |
| 0.0617        | 2.4127 | 608  | 1.1950          | -2.1986        | -1.9633          | 0.25               | -0.2353         | -121.5159      | -109.9597    | -0.1517         | -0.1451       |
| 0.1181        | 2.7143 | 684  | 1.2551          | -2.5518        | -2.2604          | 0.25               | -0.2914         | -124.4866      | -113.4918    | -0.2003         | -0.1939       |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1