---
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-chat-hf
model-index:
- name: dpo-llama-chat-without-none
  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. -->

# dpo-llama-chat-without-none

This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.9481
- Rewards/chosen: 4.6795
- Rewards/rejected: 2.8189
- Rewards/accuracies: 0.8547
- Rewards/margins: 1.8606
- Logps/rejected: -60.8495
- Logps/chosen: -50.0326
- Logits/rejected: -0.2216
- Logits/chosen: -0.2323

## 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 6.3           | 0.24  | 100  | 6.1290          | 3.4767         | 3.2110           | 0.5920             | 0.2657          | -56.9286       | -62.0606     | -0.2723         | -0.2654       |
| 5.5843        | 0.48  | 200  | 5.8936          | 3.6904         | 3.2305           | 0.6520             | 0.4599          | -56.7330       | -59.9230     | 0.2517          | 0.2475        |
| 5.757         | 0.72  | 300  | 5.6694          | 3.9164         | 3.1893           | 0.7253             | 0.7271          | -57.1450       | -57.6631     | 0.3505          | 0.3418        |
| 5.5385        | 0.96  | 400  | 5.4629          | 4.1466         | 3.1351           | 0.7600             | 1.0115          | -57.6871       | -55.3611     | 0.2059          | 0.1970        |
| 5.2301        | 1.2   | 500  | 5.2891          | 4.3324         | 3.0305           | 0.7880             | 1.3020          | -58.7338       | -53.5027     | 0.1063          | 0.0968        |
| 5.0115        | 1.44  | 600  | 5.1601          | 4.4582         | 2.9458           | 0.8213             | 1.5124          | -59.5800       | -52.2452     | -0.1082         | -0.1154       |
| 4.9893        | 1.68  | 700  | 5.0431          | 4.5787         | 2.9142           | 0.8413             | 1.6645          | -59.8968       | -51.0404     | -0.1716         | -0.1829       |
| 5.0292        | 1.92  | 800  | 4.9770          | 4.6501         | 2.8827           | 0.8427             | 1.7673          | -60.2111       | -50.3266     | -0.1929         | -0.2042       |
| 4.331         | 2.16  | 900  | 4.9577          | 4.6724         | 2.8191           | 0.8480             | 1.8534          | -60.8478       | -50.1027     | -0.2005         | -0.2121       |
| 4.5481        | 2.4   | 1000 | 4.9481          | 4.6795         | 2.8189           | 0.8547             | 1.8606          | -60.8495       | -50.0326     | -0.2216         | -0.2323       |


### Framework versions

- PEFT 0.8.2
- Transformers 4.36.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2