---
license: llama2
library_name: peft
tags:
- trl
- orpo
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-hf
model-index:
- name: Llama-2-7b-hf-eval_threapist-ORPO-filtered-version-1
  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-eval_threapist-ORPO-filtered-version-1

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: 0.9066
- Rewards/chosen: -0.2061
- Rewards/rejected: -0.2562
- Rewards/accuracies: 0.7000
- Rewards/margins: 0.0500
- Logps/rejected: -2.5615
- Logps/chosen: -2.0611
- Logits/rejected: -1.0229
- Logits/chosen: -1.0111
- Nll Loss: 0.8524
- Log Odds Ratio: -0.5638
- Log Odds Chosen: 0.5622

## 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: 8e-06
- 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: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Nll Loss | Log Odds Ratio | Log Odds Chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
| 0.7757        | 0.4037 | 44   | 1.0979          | -0.2148        | -0.2646          | 0.7000             | 0.0498          | -2.6460        | -2.1485      | -0.9189         | -0.9063       | 1.0343   | -0.5790        | 0.5551          |
| 0.7944        | 0.8073 | 88   | 1.0113          | -0.2113        | -0.2607          | 0.7000             | 0.0494          | -2.6073        | -2.1130      | -0.9711         | -0.9585       | 0.9516   | -0.5747        | 0.5532          |
| 0.6896        | 1.2110 | 132  | 0.9476          | -0.2082        | -0.2579          | 0.7000             | 0.0497          | -2.5794        | -2.0824      | -0.9990         | -0.9867       | 0.8912   | -0.5690        | 0.5574          |
| 0.8565        | 1.6147 | 176  | 0.9066          | -0.2061        | -0.2562          | 0.7000             | 0.0500          | -2.5615        | -2.0611      | -1.0229         | -1.0111       | 0.8524   | -0.5638        | 0.5622          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1