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---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: zephyr-7b-dpo-full
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-dpo-full
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 HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5020
- Rewards/chosen: -0.8985
- Rewards/rejected: -1.8744
- Rewards/accuracies: 0.7812
- Rewards/margins: 0.9759
- Logps/rejected: -450.1291
- Logps/chosen: -352.4258
- Logits/rejected: 1.7371
- Logits/chosen: 0.9003
## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 64
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5709 | 0.2092 | 100 | 0.5765 | -0.3415 | -0.8321 | 0.7305 | 0.4906 | -345.8958 | -296.7220 | -1.0885 | -1.2465 |
| 0.5427 | 0.4184 | 200 | 0.5256 | -0.7352 | -1.5375 | 0.7695 | 0.8022 | -416.4311 | -336.0986 | 0.9059 | 0.1815 |
| 0.4892 | 0.6276 | 300 | 0.5082 | -0.8910 | -1.8210 | 0.7695 | 0.9300 | -444.7822 | -351.6719 | 1.3892 | 0.5828 |
| 0.5037 | 0.8368 | 400 | 0.5031 | -0.8365 | -1.7881 | 0.7852 | 0.9517 | -441.4968 | -346.2211 | 1.6106 | 0.7959 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.19.1
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