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---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- generation/GPT4
model-index:
- name: zephyr-dpop-qlora-gpt4-5e-7-epoch3
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-gpt4-5e-7-epoch3
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/GPT4 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5678
- Positive Losses: 8.8531
- Dpo Losses: 0.6658
- Rewards/chosen: -0.0421
- Rewards/rejected: -0.1106
- Rewards/accuracies: 0.6151
- Rewards/margins: 0.0684
- Rewards/margins Max: 0.3178
- Rewards/margins Min: -0.1570
- Rewards/margins Std: 0.2114
- Logps/rejected: -270.2393
- Logps/chosen: -289.4331
- Logits/rejected: -2.6601
- Logits/chosen: -2.7033
## 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: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 16
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6835 | 0.28 | 100 | 0.6965 | 0.0436 | 0.6917 | 0.0092 | 0.0061 | 0.5833 | 0.0030 | 0.0155 | -0.0076 | 0.0103 | -258.5689 | -284.3059 | -2.8089 | -2.8541 |
| 0.6367 | 0.56 | 200 | 0.7633 | 0.6990 | 0.6863 | 0.0215 | 0.0070 | 0.5873 | 0.0145 | 0.0761 | -0.0391 | 0.0511 | -258.4836 | -283.0695 | -2.7779 | -2.8224 |
| 0.5913 | 0.85 | 300 | 0.9198 | 2.2041 | 0.6810 | 0.0123 | -0.0144 | 0.5714 | 0.0267 | 0.1358 | -0.0683 | 0.0899 | -260.6202 | -283.9922 | -2.7412 | -2.7853 |
| 0.5502 | 1.13 | 400 | 1.0826 | 3.7846 | 0.6770 | 0.0010 | -0.0361 | 0.5754 | 0.0370 | 0.1861 | -0.0963 | 0.1243 | -262.7899 | -285.1261 | -2.7113 | -2.7545 |
| 0.5398 | 1.41 | 500 | 1.1571 | 4.6567 | 0.6734 | 0.0027 | -0.0441 | 0.5833 | 0.0468 | 0.2338 | -0.1166 | 0.1549 | -263.5918 | -284.9548 | -2.6935 | -2.7368 |
| 0.5293 | 1.69 | 600 | 1.2245 | 5.3740 | 0.6703 | 0.0016 | -0.0536 | 0.5913 | 0.0552 | 0.2655 | -0.1284 | 0.1752 | -264.5410 | -285.0616 | -2.6767 | -2.7201 |
| 0.5238 | 1.97 | 700 | 1.3783 | 6.9387 | 0.6683 | -0.0190 | -0.0800 | 0.6032 | 0.0610 | 0.2891 | -0.1425 | 0.1922 | -267.1869 | -287.1237 | -2.6726 | -2.7154 |
| 0.488 | 2.25 | 800 | 1.4896 | 8.0964 | 0.6670 | -0.0328 | -0.0978 | 0.6111 | 0.0650 | 0.3063 | -0.1511 | 0.2037 | -268.9666 | -288.5044 | -2.6644 | -2.7076 |
| 0.5027 | 2.54 | 900 | 1.5575 | 8.7828 | 0.6661 | -0.0416 | -0.1091 | 0.6190 | 0.0675 | 0.3151 | -0.1563 | 0.2099 | -270.0926 | -289.3809 | -2.6629 | -2.7059 |
| 0.4962 | 2.82 | 1000 | 1.5707 | 8.9081 | 0.6660 | -0.0431 | -0.1110 | 0.6151 | 0.0679 | 0.3167 | -0.1568 | 0.2111 | -270.2825 | -289.5273 | -2.6606 | -2.7037 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2 |