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---
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: DUAL-GPO-2/zephyr-7b-sft-new
model-index:
- name: zephyr-7b-gpo-new-v1-i0
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-gpo-new-v1-i0
This model is a fine-tuned version of [DUAL-GPO-2/zephyr-7b-sft-new](https://huggingface.co/DUAL-GPO-2/zephyr-7b-sft-new) on the None dataset.
It achieves the following results on the evaluation set:
- Logits/chosen: -1.6150
- Logits/rejected: -1.4339
- Logps/chosen: -400.8042
- Logps/rejected: -417.9239
- Loss: 0.0367
- Rewards/accuracies: 0.5930
- Rewards/chosen: -0.1716
- Rewards/margins: 0.0499
- Rewards/rejected: -0.2215
## 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-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- total_eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
| 0.0532 | 0.01 | 100 | -2.3286 | -2.1100 | -227.7062 | -195.3472 | 0.0535 | 0.5530 | 0.0015 | 0.0005 | 0.0011 |
| 0.0625 | 0.03 | 200 | -2.3309 | -2.1124 | -225.1784 | -194.7161 | 0.0527 | 0.6080 | 0.0040 | 0.0023 | 0.0017 |
| 0.0485 | 0.04 | 300 | -2.3236 | -2.1050 | -237.7424 | -214.5471 | 0.0496 | 0.5890 | -0.0085 | 0.0096 | -0.0181 |
| 0.0361 | 0.05 | 400 | -2.3720 | -2.1493 | -251.4063 | -239.9417 | 0.0447 | 0.5990 | -0.0222 | 0.0213 | -0.0435 |
| 0.0375 | 0.07 | 500 | -2.1960 | -1.9821 | -282.6958 | -281.3289 | 0.0417 | 0.5890 | -0.0535 | 0.0314 | -0.0849 |
| 0.0522 | 0.08 | 600 | -1.5433 | -1.3697 | -398.6434 | -395.0714 | 0.0432 | 0.5920 | -0.1694 | 0.0292 | -0.1987 |
| 0.0453 | 0.09 | 700 | -1.9137 | -1.7203 | -295.2011 | -297.8420 | 0.0367 | 0.5780 | -0.0660 | 0.0355 | -0.1014 |
| 0.0293 | 0.1 | 800 | -1.6150 | -1.4339 | -400.8042 | -417.9239 | 0.0367 | 0.5930 | -0.1716 | 0.0499 | -0.2215 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2 |