---
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-0_TTree1.4_TT0.9_TP0.7_TE0.2_V7
  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-0_TTree1.4_TT0.9_TP0.7_TE0.2_V7

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: 1.1519
- Rewards/chosen: -2.8728
- Rewards/rejected: -2.9359
- Rewards/accuracies: 0.4000
- Rewards/margins: 0.0631
- Logps/rejected: -141.0865
- Logps/chosen: -142.4955
- Logits/rejected: 0.0425
- Logits/chosen: -0.0160

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.7133        | 0.3   | 63   | 0.6946          | 0.0868         | 0.0595           | 0.6000             | 0.0274          | -111.1324      | -112.8988    | 0.5159          | 0.4902        |
| 0.5044        | 0.6   | 126  | 0.6814          | 0.2402         | 0.0924           | 0.6000             | 0.1478          | -110.8034      | -111.3656    | 0.5007          | 0.4738        |
| 0.6555        | 0.9   | 189  | 0.6392          | -0.0496        | -0.2815          | 0.7000             | 0.2319          | -114.5420      | -114.2632    | 0.5375          | 0.5056        |
| 0.2983        | 1.2   | 252  | 0.6671          | -0.8670        | -1.3823          | 0.5                | 0.5153          | -125.5504      | -122.4372    | 0.4453          | 0.4053        |
| 0.287         | 1.5   | 315  | 0.6743          | -1.0040        | -1.5229          | 0.4000             | 0.5189          | -126.9560      | -123.8071    | 0.3434          | 0.2980        |
| 0.313         | 1.8   | 378  | 0.7727          | -1.1663        | -1.4516          | 0.4000             | 0.2853          | -126.2434      | -125.4304    | 0.3244          | 0.2767        |
| 0.1026        | 2.1   | 441  | 0.8556          | -1.5616        | -1.8026          | 0.4000             | 0.2410          | -129.7528      | -129.3835    | 0.2187          | 0.1675        |
| 0.1738        | 2.4   | 504  | 1.1593          | -2.7915        | -2.8593          | 0.4000             | 0.0677          | -140.3199      | -141.6827    | 0.0630          | 0.0046        |
| 0.2095        | 2.7   | 567  | 1.1725          | -2.9060        | -2.9579          | 0.4000             | 0.0519          | -141.3057      | -142.8270    | 0.0427          | -0.0158       |
| 0.0235        | 3.0   | 630  | 1.1519          | -2.8728        | -2.9359          | 0.4000             | 0.0631          | -141.0865      | -142.4955    | 0.0425          | -0.0160       |


### Framework versions

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