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---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- generation/UF
model-index:
- name: zephyr-7b-dpop-ours-qlora-5e-6-epoch3
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-dpop-ours-qlora-5e-6-epoch3
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/UF dataset.
It achieves the following results on the evaluation set:
- Loss: 5.2043
- Positive Losses: 49.6926
- Dpo Losses: 0.6309
- Rewards/chosen: -0.4548
- Rewards/rejected: -0.7461
- Rewards/accuracies: 0.6706
- Rewards/margins: 0.2913
- Rewards/margins Max: 1.0735
- Rewards/margins Min: -0.5345
- Rewards/margins Std: 0.7255
- Logps/rejected: -333.7965
- Logps/chosen: -330.7057
- Logits/rejected: -2.5363
- Logits/chosen: -2.5869
## 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: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 16
- 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: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Positive Losses | Dpo Losses | 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6275 | 0.28 | 100 | 0.8540 | 1.6941 | 0.6742 | 0.0863 | 0.0420 | 0.6032 | 0.0443 | 0.2147 | -0.1031 | 0.1420 | -254.9810 | -276.5898 | -2.7114 | -2.7527 |
| 0.599 | 0.56 | 200 | 1.9207 | 12.5808 | 0.6560 | -0.0584 | -0.1681 | 0.6389 | 0.1097 | 0.4903 | -0.2555 | 0.3316 | -275.9966 | -291.0660 | -2.7386 | -2.7842 |
| 0.4901 | 0.85 | 300 | 2.8067 | 22.2141 | 0.6507 | -0.1851 | -0.3037 | 0.6389 | 0.1186 | 0.4724 | -0.2575 | 0.3257 | -289.5482 | -303.7292 | -2.7330 | -2.7855 |
| 0.4414 | 1.13 | 400 | 2.6622 | 20.9278 | 0.6386 | -0.1386 | -0.3238 | 0.6746 | 0.1852 | 0.6971 | -0.3749 | 0.4833 | -291.5616 | -299.0799 | -2.6703 | -2.7191 |
| 0.4651 | 1.41 | 500 | 2.6646 | 20.6090 | 0.6384 | -0.1329 | -0.3285 | 0.6627 | 0.1956 | 0.7628 | -0.3883 | 0.5195 | -292.0331 | -298.5117 | -2.6714 | -2.7217 |
| 0.5269 | 1.69 | 600 | 5.0162 | 46.1312 | 0.6337 | -0.4167 | -0.6475 | 0.6627 | 0.2307 | 0.8626 | -0.4616 | 0.5963 | -323.9284 | -326.8941 | -2.6026 | -2.6532 |
| 0.3513 | 1.97 | 700 | 4.8954 | 45.5933 | 0.6399 | -0.4107 | -0.6603 | 0.6627 | 0.2496 | 0.9744 | -0.5254 | 0.6826 | -325.2173 | -326.2958 | -2.5808 | -2.6317 |
| 0.2795 | 2.25 | 800 | 4.7693 | 43.9090 | 0.6266 | -0.3919 | -0.6839 | 0.6825 | 0.2920 | 1.0657 | -0.5266 | 0.7166 | -327.5706 | -324.4103 | -2.5545 | -2.6047 |
| 0.3544 | 2.54 | 900 | 5.3640 | 51.3363 | 0.6314 | -0.4735 | -0.7650 | 0.6706 | 0.2915 | 1.0782 | -0.5345 | 0.7289 | -335.6813 | -332.5704 | -2.5359 | -2.5863 |
| 0.545 | 2.82 | 1000 | 5.2224 | 49.9806 | 0.6312 | -0.4578 | -0.7482 | 0.6627 | 0.2904 | 1.0718 | -0.5332 | 0.7245 | -333.9995 | -330.9984 | -2.5367 | -2.5873 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2 |