---
license: llama2
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-hf
model-index:
- name: Llama-2-7b-hf-DPO-PartialEval_ET0.1_MT1.2_1-5_V.1.0_Filtered0.1_V2.0
  results: []
---

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# Llama-2-7b-hf-DPO-PartialEval_ET0.1_MT1.2_1-5_V.1.0_Filtered0.1_V2.0

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: 0.7144
- Rewards/chosen: -1.6306
- Rewards/rejected: -2.4361
- Rewards/accuracies: 0.6000
- Rewards/margins: 0.8055
- Logps/rejected: -102.1983
- Logps/chosen: -75.1633
- Logits/rejected: -1.1455
- Logits/chosen: -1.1589

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6731        | 0.3002 | 71   | 0.6597          | -0.2850        | -0.3581          | 0.7000             | 0.0730          | -81.4183       | -61.7075     | -0.6048         | -0.6395       |
| 0.7247        | 0.6004 | 142  | 0.6736          | -0.2337        | -0.3068          | 0.6000             | 0.0731          | -80.9054       | -61.1937     | -0.6225         | -0.6508       |
| 0.7904        | 0.9006 | 213  | 0.6429          | -0.3998        | -0.6509          | 0.4000             | 0.2511          | -84.3463       | -62.8548     | -0.5841         | -0.6111       |
| 0.4605        | 1.2008 | 284  | 0.6441          | -1.2776        | -1.6264          | 0.6000             | 0.3488          | -94.1014       | -71.6333     | -0.6811         | -0.7046       |
| 0.1414        | 1.5011 | 355  | 0.7397          | -1.5081        | -2.0627          | 0.5                | 0.5546          | -98.4643       | -73.9382     | -0.9076         | -0.9267       |
| 0.3163        | 1.8013 | 426  | 0.6853          | -0.6284        | -1.2097          | 0.5                | 0.5813          | -89.9342       | -65.1407     | -1.0111         | -1.0272       |
| 0.4302        | 2.1015 | 497  | 0.6807          | -1.2134        | -1.8550          | 0.6000             | 0.6416          | -96.3875       | -70.9912     | -1.0568         | -1.0718       |
| 0.1069        | 2.4017 | 568  | 0.6842          | -1.4697        | -2.2823          | 0.6000             | 0.8126          | -100.6605      | -73.5542     | -1.1094         | -1.1223       |
| 0.2267        | 2.7019 | 639  | 0.7144          | -1.6306        | -2.4361          | 0.6000             | 0.8055          | -102.1983      | -75.1633     | -1.1455         | -1.1589       |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1