---
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- generation/UF
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-dpop-qlora-uf-ours-5e-6-epoch1
  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-uf-ours-5e-6-epoch1

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/UF dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6168
- Positive Losses: 8.8283
- Dpo Losses: 0.6446
- Rewards/chosen: 0.0003
- Rewards/rejected: -0.1296
- Rewards/accuracies: 0.6500
- Rewards/margins: 0.1299
- Rewards/margins Max: 0.6434
- Rewards/margins Min: -0.3494
- Rewards/margins Std: 0.3327
- Logps/rejected: -271.5416
- Logps/chosen: -284.5663
- Logits/rejected: -2.6717
- Logits/chosen: -2.7138

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6232        | 0.28  | 100  | 1.1413          | 4.2610          | 0.6656     | 0.0429         | -0.0252          | 0.6230             | 0.0680          | 0.4086              | -0.2281             | 0.2094              | -261.0972      | -280.3080    | -2.6361         | -2.6726       |
| 0.5625        | 0.56  | 200  | 1.7186          | 9.6677          | 0.6469     | -0.0183        | -0.1426          | 0.6420             | 0.1243          | 0.6362              | -0.3433             | 0.3277              | -272.8399      | -286.4236    | -2.6380         | -2.6780       |
| 0.4748        | 0.85  | 300  | 1.6048          | 8.7062          | 0.6448     | 0.0014         | -0.1274          | 0.6470             | 0.1288          | 0.6375              | -0.3461             | 0.3295              | -271.3224      | -284.4528    | -2.6733         | -2.7153       |


### Framework versions

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