---
license: llama2
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-chat-hf
model-index:
- name: model_hh_usp2_200
  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. -->

# model_hh_usp2_200

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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7539
- Rewards/chosen: -6.1342
- Rewards/rejected: -7.0734
- Rewards/accuracies: 0.5500
- Rewards/margins: 0.9392
- Logps/rejected: -123.0264
- Logps/chosen: -118.7056
- Logits/rejected: -0.0859
- Logits/chosen: -0.0281

## 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0           | 8.0   | 100  | 1.7627          | -5.8776        | -6.7947          | 0.5400             | 0.9171          | -122.7167      | -118.4203    | -0.0739         | -0.0163       |
| 0.0           | 16.0  | 200  | 1.7526          | -5.9719        | -6.9070          | 0.5200             | 0.9351          | -122.8416      | -118.5252    | -0.0772         | -0.0191       |
| 0.0           | 24.0  | 300  | 1.7452          | -5.9893        | -6.9334          | 0.5400             | 0.9440          | -122.8708      | -118.5445    | -0.0823         | -0.0239       |
| 0.0           | 32.0  | 400  | 1.7405          | -6.0454        | -7.0112          | 0.5400             | 0.9658          | -122.9573      | -118.6068    | -0.0827         | -0.0247       |
| 0.0           | 40.0  | 500  | 1.7542          | -6.0927        | -7.0508          | 0.5500             | 0.9581          | -123.0013      | -118.6594    | -0.0849         | -0.0269       |
| 0.0           | 48.0  | 600  | 1.7457          | -6.1288        | -7.0751          | 0.5300             | 0.9463          | -123.0282      | -118.6995    | -0.0843         | -0.0262       |
| 0.0           | 56.0  | 700  | 1.7426          | -6.1364        | -7.0982          | 0.5400             | 0.9619          | -123.0540      | -118.7079    | -0.0868         | -0.0288       |
| 0.0           | 64.0  | 800  | 1.7365          | -6.1361        | -7.0983          | 0.5600             | 0.9621          | -123.0540      | -118.7077    | -0.0867         | -0.0287       |
| 0.0           | 72.0  | 900  | 1.7559          | -6.1205        | -7.0808          | 0.5500             | 0.9604          | -123.0346      | -118.6903    | -0.0874         | -0.0288       |
| 0.0           | 80.0  | 1000 | 1.7539          | -6.1342        | -7.0734          | 0.5500             | 0.9392          | -123.0264      | -118.7056    | -0.0859         | -0.0281       |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2