---
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_V5
  results: []
---

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# Llama-2-7b-hf-DPO-LookAhead-0_TTree1.4_TT0.9_TP0.7_TE0.2_V5

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: 1.0897
- Rewards/chosen: -2.9914
- Rewards/rejected: -2.7155
- Rewards/accuracies: 0.4000
- Rewards/margins: -0.2759
- Logps/rejected: -168.0010
- Logps/chosen: -174.0661
- Logits/rejected: -0.5254
- Logits/chosen: -0.5339

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.7826        | 0.2993 | 66   | 0.6590          | 0.0849         | 0.0090           | 0.8000             | 0.0759          | -140.7556      | -143.3033    | 0.0847          | 0.0794        |
| 0.639         | 0.5986 | 132  | 0.6196          | 0.1097         | -0.0511          | 0.9000             | 0.1607          | -141.3567      | -143.0557    | 0.0753          | 0.0696        |
| 0.5359        | 0.8980 | 198  | 0.6393          | 0.0423         | -0.0866          | 0.8000             | 0.1290          | -141.7119      | -143.7288    | 0.0629          | 0.0567        |
| 0.2727        | 1.1973 | 264  | 0.8080          | -1.1508        | -1.3039          | 0.6000             | 0.1532          | -153.8851      | -155.6598    | -0.0274         | -0.0343       |
| 0.3407        | 1.4966 | 330  | 0.6648          | -0.9615        | -1.1845          | 0.7000             | 0.2230          | -152.6907      | -153.7668    | -0.0764         | -0.0838       |
| 0.3991        | 1.7959 | 396  | 0.7534          | -1.2141        | -1.2811          | 0.6000             | 0.0670          | -153.6568      | -156.2932    | -0.1934         | -0.2005       |
| 0.1309        | 2.0952 | 462  | 0.8973          | -1.9586        | -1.8725          | 0.4000             | -0.0861         | -159.5707      | -163.7383    | -0.3197         | -0.3272       |
| 0.0603        | 2.3946 | 528  | 1.0892          | -2.8596        | -2.5458          | 0.3000             | -0.3138         | -166.3034      | -172.7478    | -0.4837         | -0.4920       |
| 0.1481        | 2.6939 | 594  | 1.1046          | -3.0656        | -2.7656          | 0.4000             | -0.2999         | -168.5022      | -174.8080    | -0.5326         | -0.5412       |
| 0.2564        | 2.9932 | 660  | 1.0897          | -2.9914        | -2.7155          | 0.4000             | -0.2759         | -168.0010      | -174.0661    | -0.5254         | -0.5339       |


### Framework versions

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