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---
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- generation/GPT4
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-dpo-qlora-gpt4-5e-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-dpo-qlora-gpt4-5e-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/GPT4 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6861
- Rewards/chosen: -0.0552
- Rewards/rejected: -0.0760
- Rewards/accuracies: 0.5910
- Rewards/margins: 0.0208
- Rewards/margins Max: 0.1489
- Rewards/margins Min: -0.0942
- Rewards/margins Std: 0.0802
- Logps/rejected: -266.1821
- Logps/chosen: -290.1167
- Logits/rejected: -2.7232
- Logits/chosen: -2.7609
## 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 | 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6666 | 0.28 | 100 | 0.6907 | -0.0061 | -0.0128 | 0.5780 | 0.0067 | 0.0489 | -0.0295 | 0.0259 | -259.8633 | -285.2067 | -2.7596 | -2.7978 |
| 0.6251 | 0.56 | 200 | 0.6876 | -0.0360 | -0.0522 | 0.5870 | 0.0162 | 0.1195 | -0.0752 | 0.0641 | -263.7989 | -288.1948 | -2.7319 | -2.7700 |
| 0.6029 | 0.85 | 300 | 0.6862 | -0.0539 | -0.0744 | 0.5870 | 0.0206 | 0.1479 | -0.0932 | 0.0795 | -266.0218 | -289.9789 | -2.7191 | -2.7573 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2 |