---
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- generation/UF6konly
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-dpop-qlora-uf6k-5e-6
  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. -->

# zephyr-dpop-qlora-uf6k-5e-6

This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the generation/UF6konly dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6881
- Positive Losses: 0.0953
- Dpo Losses: 0.6680
- Rewards/chosen: 0.1485
- Rewards/rejected: 0.0945
- Rewards/accuracies: 0.6920
- Rewards/margins: 0.0540
- Rewards/margins Max: 0.2140
- Rewards/margins Min: -0.0946
- Rewards/margins Std: 0.1026
- Logps/rejected: -249.1260
- Logps/chosen: -269.7429
- Logits/rejected: -2.7470
- Logits/chosen: -2.7842

## 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-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Positive Losses | Dpo Losses | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Rewards/margins Max | Rewards/margins Min | Rewards/margins Std | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6896        | 0.3   | 100  | 0.6927          | 0.0589          | 0.6767     | 0.1278         | 0.0930           | 0.6710             | 0.0348          | 0.1572              | -0.0767             | 0.0771              | -249.2807      | -271.8154    | -2.7452         | -2.7829       |
| 0.6919        | 0.61  | 200  | 0.6864          | 0.0952          | 0.6689     | 0.1438         | 0.0918           | 0.6830             | 0.0521          | 0.2115              | -0.0943             | 0.1012              | -249.3993      | -270.2086    | -2.7481         | -2.7856       |
| 0.6774        | 0.91  | 300  | 0.6879          | 0.0941          | 0.6679     | 0.1483         | 0.0942           | 0.6900             | 0.0541          | 0.2146              | -0.0945             | 0.1028              | -249.1596      | -269.7678    | -2.7464         | -2.7837       |


### Framework versions

- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2