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---
library_name: transformers
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-group-dpo-full-4
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-group-dpo-full-4
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: 0.3329
- Rewards/chosen: -3.5718
- Rewards/rejected: -6.6220
- Rewards/accuracies: 0.8281
- Rewards/margins: 3.0502
- Logps/rejected: -952.0885
- Logps/chosen: -639.7113
- Logits/rejected: -0.6186
- Logits/chosen: -1.1189
## 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: 4
- total_train_batch_size: 256
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.2094 | 0.2303 | 100 | 0.4273 | -1.2973 | -2.4710 | 0.7768 | 1.1737 | -536.9892 | -412.2621 | -2.8747 | -2.8886 |
| 0.1232 | 0.4606 | 200 | 0.3541 | -2.8531 | -5.1625 | 0.8069 | 2.3094 | -806.1392 | -567.8411 | -1.2949 | -1.6181 |
| 0.1 | 0.6908 | 300 | 0.3383 | -3.9067 | -6.9476 | 0.8158 | 3.0409 | -984.6500 | -673.2026 | -0.4879 | -0.9150 |
| 0.0956 | 0.9211 | 400 | 0.3329 | -3.5971 | -6.6557 | 0.8281 | 3.0586 | -955.4623 | -642.2396 | -0.6052 | -1.1035 |
### Framework versions
- Transformers 4.44.1
- Pytorch 2.1.2+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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