---
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_V2
  results: []
---

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# Llama-2-7b-hf-DPO-LookAhead-0_TTree1.4_TT0.9_TP0.7_TE0.2_V2

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: 0.8499
- Rewards/chosen: -2.3527
- Rewards/rejected: -2.7258
- Rewards/accuracies: 0.5
- Rewards/margins: 0.3731
- Logps/rejected: -145.5276
- Logps/chosen: -177.2292
- Logits/rejected: -0.0232
- Logits/chosen: -0.0429

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.7354        | 0.3029 | 78   | 0.7015          | -0.0064        | 0.0037           | 0.6667             | -0.0101         | -118.2320      | -153.7661    | 0.5634          | 0.5426        |
| 0.6583        | 0.6058 | 156  | 0.7087          | -0.0202        | -0.0023          | 0.5833             | -0.0178         | -118.2927      | -153.9037    | 0.5270          | 0.5061        |
| 0.723         | 0.9087 | 234  | 0.7499          | -0.3620        | -0.3783          | 0.5                | 0.0163          | -122.0522      | -157.3222    | 0.4964          | 0.4745        |
| 0.229         | 1.2117 | 312  | 0.7914          | -0.9616        | -1.0299          | 0.5833             | 0.0683          | -128.5688      | -163.3184    | 0.3901          | 0.3669        |
| 0.603         | 1.5146 | 390  | 0.7363          | -1.3393        | -1.5502          | 0.5                | 0.2109          | -133.7717      | -167.0953    | 0.3080          | 0.2854        |
| 0.1335        | 1.8175 | 468  | 0.7920          | -1.5465        | -1.6888          | 0.4167             | 0.1423          | -135.1577      | -169.1670    | 0.1816          | 0.1612        |
| 0.1427        | 2.1204 | 546  | 0.7712          | -1.7940        | -2.0501          | 0.5                | 0.2561          | -138.7705      | -171.6423    | 0.1192          | 0.0991        |
| 0.2443        | 2.4233 | 624  | 0.8586          | -2.4320        | -2.8184          | 0.5                | 0.3864          | -146.4533      | -178.0219    | -0.0246         | -0.0443       |
| 0.0228        | 2.7262 | 702  | 0.8499          | -2.3527        | -2.7258          | 0.5                | 0.3731          | -145.5276      | -177.2292    | -0.0232         | -0.0429       |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1