---
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- generation/UF6k
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-dpop-qlora-uf-oursuf6k-5e-7
  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-oursuf6k-5e-7

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/UF6k dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6903
- Positive Losses: 0.0369
- Dpo Losses: 0.6851
- Rewards/chosen: 0.0601
- Rewards/rejected: 0.0433
- Rewards/accuracies: 0.6090
- Rewards/margins: 0.0168
- Rewards/margins Max: 0.0933
- Rewards/margins Min: -0.0510
- Rewards/margins Std: 0.0482
- Logps/rejected: -254.2451
- Logps/chosen: -278.5801
- Logits/rejected: -2.7575
- Logits/chosen: -2.7964

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6918        | 0.15  | 100  | 0.6930          | 0.0047          | 0.6922     | 0.0135         | 0.0117           | 0.6000             | 0.0019          | 0.0130              | -0.0081             | 0.0070              | -257.4135      | -283.2392    | -2.7718         | -2.8105       |
| 0.6867        | 0.29  | 200  | 0.6917          | 0.0124          | 0.6900     | 0.0299         | 0.0235           | 0.6100             | 0.0063          | 0.0373              | -0.0214             | 0.0194              | -256.2250      | -281.6053    | -2.7690         | -2.8075       |
| 0.6825        | 0.44  | 300  | 0.6909          | 0.0225          | 0.6879     | 0.0441         | 0.0333           | 0.625              | 0.0108          | 0.0619              | -0.0341             | 0.0319              | -255.2539      | -280.1855    | -2.7634         | -2.8021       |
| 0.6808        | 0.58  | 400  | 0.6905          | 0.0314          | 0.6861     | 0.0543         | 0.0397           | 0.6170             | 0.0147          | 0.0808              | -0.0436             | 0.0415              | -254.6122      | -279.1606    | -2.7608         | -2.7994       |
| 0.6769        | 0.73  | 500  | 0.6902          | 0.0330          | 0.6855     | 0.0585         | 0.0426           | 0.6120             | 0.0160          | 0.0885              | -0.0487             | 0.0458              | -254.3216      | -278.7400    | -2.7587         | -2.7975       |
| 0.67          | 0.88  | 600  | 0.6903          | 0.0373          | 0.6851     | 0.0599         | 0.0432           | 0.6160             | 0.0167          | 0.0930              | -0.0511             | 0.0481              | -254.2623      | -278.6050    | -2.7602         | -2.7988       |


### Framework versions

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