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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/UF6k
model-index:
- name: zephyr-dpop-qlora-uf-oursuf6k-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-uf-oursuf6k-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/UF6k dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0972
- Positive Losses: 4.6136
- Dpo Losses: 0.6513
- Rewards/chosen: 0.1036
- Rewards/rejected: -0.0071
- Rewards/accuracies: 0.6270
- Rewards/margins: 0.1107
- Rewards/margins Max: 0.4366
- Rewards/margins Min: -0.1898
- Rewards/margins Std: 0.2797
- Logps/rejected: -259.8883
- Logps/chosen: -274.8616
- Logits/rejected: -2.7883
- Logits/chosen: -2.8318
## 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: 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6612 | 0.15 | 100 | 0.7167 | 0.3423 | 0.6805 | 0.0814 | 0.0535 | 0.5913 | 0.0279 | 0.1341 | -0.0698 | 0.0908 | -253.8317 | -277.0839 | -2.8097 | -2.8549 |
| 0.6652 | 0.29 | 200 | 0.7424 | 0.6158 | 0.6684 | 0.1444 | 0.0868 | 0.6071 | 0.0576 | 0.2387 | -0.1086 | 0.1564 | -250.5054 | -270.7805 | -2.7612 | -2.8047 |
| 0.6493 | 0.44 | 300 | 0.7586 | 0.7357 | 0.6609 | 0.1701 | 0.0950 | 0.6151 | 0.0751 | 0.2766 | -0.1065 | 0.1714 | -249.6817 | -268.2108 | -2.7656 | -2.8106 |
| 0.6224 | 0.58 | 400 | 0.9943 | 3.3747 | 0.6529 | 0.1119 | 0.0109 | 0.6389 | 0.1009 | 0.3836 | -0.1621 | 0.2434 | -258.0921 | -274.0359 | -2.7767 | -2.8199 |
| 0.5674 | 0.73 | 500 | 1.1831 | 5.7365 | 0.6565 | 0.0641 | -0.0334 | 0.6270 | 0.0975 | 0.4143 | -0.1884 | 0.2702 | -262.5242 | -278.8098 | -2.7934 | -2.8376 |
| 0.5749 | 0.88 | 600 | 1.0992 | 4.5979 | 0.6512 | 0.1035 | -0.0073 | 0.6190 | 0.1109 | 0.4368 | -0.1884 | 0.2790 | -259.9164 | -274.8698 | -2.7839 | -2.8279 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2 |