---
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-7-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-7-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: 0.7024
- Positive Losses: 0.1617
- Dpo Losses: 0.6844
- Rewards/chosen: 0.0533
- Rewards/rejected: 0.0348
- Rewards/accuracies: 0.5940
- Rewards/margins: 0.0185
- Rewards/margins Max: 0.1082
- Rewards/margins Min: -0.0600
- Rewards/margins Std: 0.0561
- Logps/rejected: -255.0996
- Logps/chosen: -279.2664
- Logits/rejected: -2.7455
- Logits/chosen: -2.7839

## 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-07
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6834        | 0.28  | 100  | 0.6932          | 0.0200          | 0.6905     | 0.0248         | 0.0194           | 0.5930             | 0.0054          | 0.0341              | -0.0197             | 0.0178              | -256.6423      | -282.1181    | -2.7657         | -2.8044       |
| 0.6629        | 0.56  | 200  | 0.6977          | 0.1042          | 0.6860     | 0.0485         | 0.0335           | 0.5980             | 0.0149          | 0.0881              | -0.0489             | 0.0456              | -255.2263      | -279.7464    | -2.7492         | -2.7879       |
| 0.6479        | 0.85  | 300  | 0.7024          | 0.1592          | 0.6845     | 0.0528         | 0.0346           | 0.5940             | 0.0182          | 0.1072              | -0.0591             | 0.0555              | -255.1217      | -279.3168    | -2.7478         | -2.7859       |


### Framework versions

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