---
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-eval_threapist-DPO-filtered-0.2-local-version-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama-2-7b-hf-eval_threapist-DPO-filtered-0.2-local-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: 0.8124
- Rewards/chosen: -0.4914
- Rewards/rejected: -0.6417
- Rewards/accuracies: 0.5
- Rewards/margins: 0.1503
- Logps/rejected: -52.4510
- Logps/chosen: -51.8579
- Logits/rejected: -1.2607
- Logits/chosen: -1.2496

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.4633        | 0.4   | 94   | 0.7283          | -0.4834        | -0.5276          | 0.5                | 0.0443          | -51.3107       | -51.7779     | -0.9037         | -0.8864       |
| 0.7207        | 0.8   | 188  | 0.7368          | -0.2345        | -0.2555          | 0.6000             | 0.0210          | -48.5893       | -49.2894     | -0.7571         | -0.7388       |
| 0.3511        | 1.2   | 282  | 0.7674          | -0.4686        | -0.6027          | 0.5500             | 0.1341          | -52.0614       | -51.6306     | -1.0377         | -1.0234       |
| 0.6543        | 1.6   | 376  | 0.8144          | -0.4911        | -0.6379          | 0.5                | 0.1468          | -52.4135       | -51.8557     | -1.2458         | -1.2342       |
| 0.123         | 2.0   | 470  | 0.8124          | -0.4914        | -0.6417          | 0.5                | 0.1503          | -52.4510       | -51.8579     | -1.2607         | -1.2496       |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1