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---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-full-prometheus-reward-scale-05
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-prometheus-reward-scale-05
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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5142
- Rewards/chosen: -1.9575
- Rewards/rejected: -3.2488
- Rewards/accuracies: 0.7198
- Rewards/margins: 1.2913
- Logps/rejected: -573.1553
- Logps/chosen: -455.7142
- Logits/rejected: 4.0394
- Logits/chosen: 3.0591
## 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: 55
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6718 | 0.1143 | 50 | 0.6623 | -0.0203 | -0.1341 | 0.6595 | 0.1139 | -261.6897 | -261.9885 | -2.5701 | -2.6137 |
| 0.5837 | 0.2286 | 100 | 0.5855 | -0.7924 | -1.5143 | 0.6595 | 0.7219 | -399.7070 | -339.2018 | -0.2076 | -0.5772 |
| 0.5481 | 0.3429 | 150 | 0.5498 | -1.3440 | -2.2915 | 0.6940 | 0.9475 | -477.4253 | -394.3634 | 2.4336 | 1.6485 |
| 0.5289 | 0.4571 | 200 | 0.5409 | -1.6426 | -2.7545 | 0.6983 | 1.1119 | -523.7253 | -424.2230 | 3.5667 | 2.6372 |
| 0.54 | 0.5714 | 250 | 0.5280 | -1.5391 | -2.7058 | 0.7026 | 1.1667 | -518.8563 | -413.8667 | 2.6437 | 1.4166 |
| 0.5147 | 0.6857 | 300 | 0.5204 | -1.8487 | -3.0990 | 0.7112 | 1.2504 | -558.1808 | -444.8300 | 3.7771 | 2.6969 |
| 0.5033 | 0.8 | 350 | 0.5168 | -1.8756 | -3.1461 | 0.7414 | 1.2705 | -562.8871 | -447.5259 | 3.8637 | 2.7948 |
| 0.52 | 0.9143 | 400 | 0.5142 | -1.9575 | -3.2488 | 0.7198 | 1.2913 | -573.1553 | -455.7142 | 4.0394 | 3.0591 |
### Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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