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---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: zephyr-7b-dpo-full-repnew
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-repnew
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: 0.5036
- Rewards/chosen: -1.1057
- Rewards/rejected: -2.0459
- Rewards/accuracies: 0.7698
- Rewards/margins: 0.9402
- Logps/rejected: -466.3643
- Logps/chosen: -394.6778
- Logits/rejected: 0.8720
- Logits/chosen: 0.0385
## 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: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 32
- 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 | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
| 0.5666 | 0.21 | 100 | -1.6453 | -1.5540 | -378.9401 | -411.0335 | 0.5780 | 0.7282 | -0.9484 | 0.5442 | -1.4926 |
| 0.5107 | 0.42 | 200 | -0.1291 | 0.3999 | -386.8341 | -445.9254 | 0.5233 | 0.7480 | -1.0273 | 0.8142 | -1.8415 |
| 0.5036 | 0.63 | 300 | -0.0425 | 0.7446 | -387.1995 | -449.6839 | 0.5109 | 0.7599 | -1.0310 | 0.8481 | -1.8791 |
| 0.485 | 0.84 | 400 | 0.0635 | 0.9022 | -397.1799 | -468.7184 | 0.5047 | 0.7639 | -1.1308 | 0.9387 | -2.0694 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.14.6
- Tokenizers 0.15.2
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