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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: 0.4929
- Rewards/chosen: 21.1860
- Rewards/rejected: 6.2518
- Rewards/accuracies: 0.7344
- Rewards/margins: 14.9342
- Logps/rejected: -256.4154
- Logps/chosen: -241.4075
- Logits/rejected: -2.7091
- Logits/chosen: -2.7366
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5187 | 0.21 | 100 | 0.5296 | 19.0644 | 9.0310 | 0.7227 | 10.0334 | -253.6362 | -243.5290 | -2.7384 | -2.7638 |
| 0.508 | 0.42 | 200 | 0.5006 | 20.6504 | 7.0237 | 0.7266 | 13.6267 | -255.6435 | -241.9431 | -2.7569 | -2.7826 |
| 0.4808 | 0.63 | 300 | 0.4966 | 20.8183 | 6.9540 | 0.7227 | 13.8643 | -255.7132 | -241.7751 | -2.7115 | -2.7378 |
| 0.4835 | 0.84 | 400 | 0.4917 | 21.2230 | 6.3692 | 0.7344 | 14.8539 | -256.2980 | -241.3705 | -2.7037 | -2.7315 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.2
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