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---
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- generation/UF6konly
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-dpo-qlora-uf6k-5e-7
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-dpo-qlora-uf6k-5e-7
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 generation/UF6konly dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6890
- Rewards/chosen: 0.0030
- Rewards/rejected: -0.0067
- Rewards/accuracies: 0.6750
- Rewards/margins: 0.0097
- Rewards/margins Max: 0.0448
- Rewards/margins Min: -0.0217
- Rewards/margins Std: 0.0219
- Logps/rejected: -259.2527
- Logps/chosen: -284.2960
- Logits/rejected: -2.7684
- Logits/chosen: -2.8066
## 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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 16
- 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 | Rewards/margins Max | Rewards/margins Min | Rewards/margins Std | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6914 | 0.3 | 100 | 0.6915 | -0.0004 | -0.0041 | 0.6460 | 0.0037 | 0.0187 | -0.0095 | 0.0093 | -258.9901 | -284.6319 | -2.7677 | -2.8065 |
| 0.6884 | 0.61 | 200 | 0.6895 | 0.0023 | -0.0061 | 0.6850 | 0.0084 | 0.0389 | -0.0189 | 0.0190 | -259.1880 | -284.3611 | -2.7665 | -2.8049 |
| 0.6873 | 0.91 | 300 | 0.6889 | 0.0031 | -0.0066 | 0.6760 | 0.0098 | 0.0449 | -0.0216 | 0.0219 | -259.2438 | -284.2815 | -2.7640 | -2.8026 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2 |