---
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-0_TTree1.4_TT0.9_TP0.7_TE0.2_V4
  results: []
---

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# Llama-2-7b-hf-DPO-LookAhead-0_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: 0.4478
- Rewards/chosen: -2.1727
- Rewards/rejected: -3.1141
- Rewards/accuracies: 0.75
- Rewards/margins: 0.9413
- Logps/rejected: -108.1851
- Logps/chosen: -106.1621
- Logits/rejected: -0.0537
- Logits/chosen: -0.0626

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.7058        | 0.3016 | 76   | 0.6991          | 0.0563         | 0.0630           | 0.5833             | -0.0067         | -76.4141       | -83.8712     | 0.4583          | 0.4571        |
| 0.7778        | 0.6032 | 152  | 0.6695          | -0.3797        | -0.4650          | 0.5833             | 0.0853          | -81.6941       | -88.2312     | 0.4087          | 0.4065        |
| 1.1444        | 0.9048 | 228  | 0.6343          | -0.5747        | -0.8035          | 0.6667             | 0.2288          | -85.0798       | -90.1819     | 0.3921          | 0.3901        |
| 0.3356        | 1.2063 | 304  | 0.5906          | -0.6785        | -1.0749          | 0.75               | 0.3964          | -87.7931       | -91.2192     | 0.3726          | 0.3707        |
| 0.2763        | 1.5079 | 380  | 0.5523          | -1.2776        | -1.8289          | 0.6667             | 0.5513          | -95.3333       | -97.2104     | 0.2582          | 0.2534        |
| 0.3627        | 1.8095 | 456  | 0.6087          | -0.9428        | -1.2234          | 0.6667             | 0.2806          | -89.2781       | -93.8623     | 0.2429          | 0.2369        |
| 0.2197        | 2.1111 | 532  | 0.4800          | -1.5304        | -2.2029          | 0.75               | 0.6724          | -99.0731       | -99.7390     | 0.0887          | 0.0802        |
| 0.1679        | 2.4127 | 608  | 0.4563          | -2.1014        | -2.9919          | 0.6667             | 0.8905          | -106.9635      | -105.4488    | -0.0385         | -0.0475       |
| 0.2841        | 2.7143 | 684  | 0.4478          | -2.1727        | -3.1141          | 0.75               | 0.9413          | -108.1851      | -106.1621    | -0.0537         | -0.0626       |


### Framework versions

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