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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: 0.5018
- Rewards/chosen: -1.1027
- Rewards/rejected: -2.0673
- Rewards/accuracies: 0.7656
- Rewards/margins: 0.9646
- Logps/rejected: -469.4237
- Logps/chosen: -372.8636
- Logits/rejected: -0.4162
- Logits/chosen: -1.1470
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5767 | 0.21 | 100 | 0.5762 | -0.5418 | -1.0929 | 0.7148 | 0.5512 | -371.9847 | -316.7739 | -1.7636 | -1.7624 |
| 0.5185 | 0.42 | 200 | 0.5312 | -1.0541 | -1.7947 | 0.7656 | 0.7407 | -442.1638 | -368.0010 | -0.6928 | -1.0192 |
| 0.5166 | 0.63 | 300 | 0.5114 | -1.1529 | -2.0654 | 0.7539 | 0.9125 | -469.2292 | -377.8804 | -0.6568 | -1.2977 |
| 0.5003 | 0.84 | 400 | 0.5023 | -1.0875 | -2.0687 | 0.7695 | 0.9812 | -469.5586 | -371.3432 | -0.3666 | -1.1044 |
### Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.1.2
- Datasets 2.18.1.dev0
- Tokenizers 0.15.2
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