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---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: zephyr-7b
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-7b
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-qlora](https://huggingface.co/alignment-handbook/zephyr-7b-sft-qlora) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6918
- Rewards/chosen: -0.0862
- Rewards/rejected: -0.1980
- Rewards/accuracies: 0.3591
- Rewards/margins: 0.1117
- Logps/rejected: -95.1937
- Logps/chosen: -77.5232
- Logits/rejected: -1.9123
- Logits/chosen: -1.9402
- Use Label: 15333.4131
- Pred Label: 4738.5874
## 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: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Use Label | Pred Label |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:----------:|:----------:|
| 0.6876 | 0.1 | 100 | 0.6896 | -0.0555 | -0.0989 | 0.3353 | 0.0434 | -85.2883 | -74.4495 | -2.0761 | -2.1076 | 1766.8572 | 89.1429 |
| 0.6892 | 0.21 | 200 | 0.6894 | -0.0049 | -0.0560 | 0.3492 | 0.0511 | -80.9954 | -69.3876 | -2.0287 | -2.0520 | 3500.8889 | 459.1111 |
| 0.6904 | 0.31 | 300 | 0.6909 | -0.0625 | -0.1410 | 0.3532 | 0.0785 | -89.5016 | -75.1524 | -1.9943 | -2.0164 | 5140.6826 | 923.3174 |
| 0.6906 | 0.42 | 400 | 0.6921 | -0.0637 | -0.1541 | 0.3512 | 0.0904 | -90.8064 | -75.2687 | -2.0248 | -2.0481 | 6695.4287 | 1472.5714 |
| 0.6903 | 0.52 | 500 | 0.6914 | -0.0747 | -0.1726 | 0.3492 | 0.0979 | -92.6561 | -76.3697 | -1.9801 | -2.0071 | 8246.2061 | 2025.7937 |
| 0.6903 | 0.63 | 600 | 0.6917 | -0.1005 | -0.2047 | 0.3552 | 0.1042 | -95.8670 | -78.9543 | -1.9601 | -1.9870 | 9772.0635 | 2603.9365 |
| 0.6917 | 0.73 | 700 | 0.6917 | -0.1117 | -0.2224 | 0.3512 | 0.1108 | -97.6411 | -80.0681 | -1.9401 | -1.9659 | 11284.7773 | 3195.2222 |
| 0.6912 | 0.84 | 800 | 0.6917 | -0.0869 | -0.1981 | 0.3631 | 0.1112 | -95.2089 | -77.5874 | -1.9144 | -1.9422 | 12826.8252 | 3757.1746 |
| 0.6914 | 0.94 | 900 | 0.6918 | -0.0863 | -0.1983 | 0.3571 | 0.1120 | -95.2291 | -77.5275 | -1.9113 | -1.9391 | 14335.7139 | 4352.2856 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.38.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2 |