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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-01
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-01
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: 0.5012
- Rewards/chosen: -1.7553
- Rewards/rejected: -2.9981
- Rewards/accuracies: 0.7198
- Rewards/margins: 1.2428
- Logps/rejected: -548.0841
- Logps/chosen: -435.4877
- Logits/rejected: 3.0596
- Logits/chosen: 1.9658
## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6661 | 0.1143 | 50 | 0.6541 | -0.0354 | -0.1594 | 0.6552 | 0.1240 | -264.2141 | -263.4992 | -2.5732 | -2.6193 |
| 0.561 | 0.2286 | 100 | 0.5663 | -1.0515 | -1.8367 | 0.7069 | 0.7852 | -431.9447 | -365.1131 | -0.0076 | -0.4111 |
| 0.5324 | 0.3429 | 150 | 0.5437 | -1.4518 | -2.4385 | 0.6853 | 0.9868 | -492.1300 | -405.1368 | 2.0029 | 1.3258 |
| 0.5261 | 0.4571 | 200 | 0.5247 | -1.5625 | -2.5913 | 0.6853 | 1.0288 | -507.4055 | -416.2077 | 2.7389 | 1.7313 |
| 0.5274 | 0.5714 | 250 | 0.5148 | -1.6815 | -2.8054 | 0.7155 | 1.1239 | -528.8192 | -428.1107 | 2.1266 | 1.0144 |
| 0.5 | 0.6857 | 300 | 0.5078 | -1.6879 | -2.8754 | 0.7198 | 1.1875 | -535.8170 | -428.7552 | 2.7028 | 1.5160 |
| 0.4879 | 0.8 | 350 | 0.5050 | -1.8872 | -3.0745 | 0.7198 | 1.1873 | -555.7252 | -448.6785 | 3.2477 | 2.2065 |
| 0.5082 | 0.9143 | 400 | 0.5012 | -1.7553 | -2.9981 | 0.7198 | 1.2428 | -548.0841 | -435.4877 | 3.0596 | 1.9658 |
### Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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