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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: 0.2141
- Rewards/chosen: 4.2427
- Rewards/rejected: -5.5362
- Rewards/accuracies: 0.9141
- Rewards/margins: 9.7789
- Logps/rejected: -191.0266
- Logps/chosen: -248.9478
- Logits/rejected: -2.4882
- Logits/chosen: -2.5045
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.3315 | 0.21 | 100 | 0.2975 | 3.4373 | -3.8279 | 0.9023 | 7.2653 | -187.6101 | -250.5587 | -2.5158 | -2.5301 |
| 0.2909 | 0.42 | 200 | 0.2754 | 4.8618 | -4.1200 | 0.9180 | 8.9818 | -188.1942 | -247.7097 | -2.5310 | -2.5459 |
| 0.6445 | 0.63 | 300 | 0.2245 | 4.2165 | -5.3713 | 0.9102 | 9.5878 | -190.6968 | -249.0004 | -2.4915 | -2.5059 |
| 0.2653 | 0.84 | 400 | 0.2103 | 4.5125 | -5.2808 | 0.9258 | 9.7933 | -190.5157 | -248.4084 | -2.4965 | -2.5123 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.2
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