---
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_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
should probably proofread and complete it, then remove this comment. -->

# Llama-2-7b-hf-DPO-LookAhead-5_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: 0.7581
- Rewards/chosen: -1.7006
- Rewards/rejected: -1.8759
- Rewards/accuracies: 0.6000
- Rewards/margins: 0.1753
- Logps/rejected: -131.1391
- Logps/chosen: -96.3973
- Logits/rejected: -0.0046
- Logits/chosen: 0.0503

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.7096        | 0.3004 | 67   | 0.6970          | -0.0217        | -0.0183          | 0.5                | -0.0034         | -112.5630      | -79.6082     | 0.6024          | 0.6487        |
| 0.6684        | 0.6009 | 134  | 0.6829          | -0.0429        | -0.0704          | 0.8000             | 0.0275          | -113.0842      | -79.8203     | 0.5780          | 0.6246        |
| 0.7283        | 0.9013 | 201  | 0.6982          | 0.0550         | 0.0616           | 0.6000             | -0.0067         | -111.7634      | -78.8413     | 0.5848          | 0.6319        |
| 0.2339        | 1.2018 | 268  | 0.6630          | -0.1631        | -0.2504          | 0.7000             | 0.0873          | -114.8840      | -81.0225     | 0.4681          | 0.5163        |
| 0.3526        | 1.5022 | 335  | 0.6523          | -0.5545        | -0.6837          | 0.6000             | 0.1292          | -119.2165      | -84.9362     | 0.3518          | 0.4006        |
| 0.2787        | 1.8027 | 402  | 0.6181          | -0.4772        | -0.6749          | 0.6000             | 0.1977          | -119.1291      | -84.1633     | 0.3107          | 0.3615        |
| 0.2577        | 2.1031 | 469  | 0.6856          | -1.0419        | -1.1941          | 0.5                | 0.1522          | -124.3209      | -89.8106     | 0.1666          | 0.2190        |
| 0.0942        | 2.4036 | 536  | 0.7344          | -1.5330        | -1.7182          | 0.6000             | 0.1852          | -129.5615      | -94.7212     | 0.0278          | 0.0822        |
| 0.0952        | 2.7040 | 603  | 0.7581          | -1.7006        | -1.8759          | 0.6000             | 0.1753          | -131.1391      | -96.3973     | -0.0046         | 0.0503        |


### Framework versions

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