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---
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- generation/UF6konly
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-dpo-qlora-uf6k-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-dpo-qlora-uf6k-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/UF6konly dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6104
- Rewards/chosen: -0.1894
- Rewards/rejected: -0.4534
- Rewards/accuracies: 0.6870
- Rewards/margins: 0.2640
- Rewards/margins Max: 1.0323
- Rewards/margins Min: -0.4642
- Rewards/margins Std: 0.5046
- Logps/rejected: -303.9143
- Logps/chosen: -303.5331
- Logits/rejected: -2.7412
- Logits/chosen: -2.7732
## 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 | 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6517 | 0.3 | 100 | 0.6560 | -0.0102 | -0.1055 | 0.6900 | 0.0954 | 0.4105 | -0.2027 | 0.2020 | -269.1304 | -285.6097 | -2.7441 | -2.7791 |
| 0.5795 | 0.61 | 200 | 0.6177 | -0.2139 | -0.4530 | 0.6820 | 0.2391 | 0.9738 | -0.4425 | 0.4777 | -303.8808 | -305.9859 | -2.7382 | -2.7701 |
| 0.5791 | 0.91 | 300 | 0.6103 | -0.2010 | -0.4650 | 0.6860 | 0.2641 | 1.0353 | -0.4649 | 0.5062 | -305.0838 | -304.6903 | -2.7402 | -2.7722 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2 |