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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/UF6konly
model-index:
- name: zephyr-7b-dpop-uf6k-qlora-5e-7-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-uf6k-qlora-5e-7-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/UF6konly dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6877
- Positive Losses: 0.0653
- Dpo Losses: 0.6792
- Rewards/chosen: 0.0804
- Rewards/rejected: 0.0515
- Rewards/accuracies: 0.6786
- Rewards/margins: 0.0289
- Rewards/margins Max: 0.0914
- Rewards/margins Min: -0.0315
- Rewards/margins Std: 0.0551
- Logps/rejected: -254.0317
- Logps/chosen: -277.1849
- Logits/rejected: -2.8006
- Logits/chosen: -2.8458
## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6932 | 0.3 | 100 | 0.6930 | 0.0052 | 0.6925 | 0.0096 | 0.0083 | 0.5794 | 0.0012 | 0.0066 | -0.0040 | 0.0047 | -258.3495 | -284.2642 | -2.8141 | -2.8594 |
| 0.6919 | 0.61 | 200 | 0.6915 | 0.0119 | 0.6904 | 0.0242 | 0.0187 | 0.6667 | 0.0055 | 0.0195 | -0.0083 | 0.0124 | -257.3141 | -282.7999 | -2.8133 | -2.8583 |
| 0.6903 | 0.91 | 300 | 0.6899 | 0.0165 | 0.6876 | 0.0395 | 0.0283 | 0.6667 | 0.0112 | 0.0379 | -0.0143 | 0.0232 | -256.3544 | -281.2695 | -2.8086 | -2.8537 |
| 0.6832 | 1.22 | 400 | 0.6892 | 0.0304 | 0.6847 | 0.0525 | 0.0351 | 0.7024 | 0.0174 | 0.0557 | -0.0196 | 0.0337 | -255.6741 | -279.9755 | -2.8057 | -2.8507 |
| 0.6776 | 1.52 | 500 | 0.6884 | 0.0444 | 0.6825 | 0.0647 | 0.0427 | 0.6905 | 0.0220 | 0.0710 | -0.0256 | 0.0433 | -254.9144 | -278.7508 | -2.8047 | -2.8495 |
| 0.677 | 1.82 | 600 | 0.6873 | 0.0459 | 0.6811 | 0.0769 | 0.0519 | 0.6825 | 0.0250 | 0.0803 | -0.0280 | 0.0484 | -253.9932 | -277.5360 | -2.8047 | -2.8494 |
| 0.6796 | 2.13 | 700 | 0.6872 | 0.0548 | 0.6800 | 0.0798 | 0.0526 | 0.6825 | 0.0272 | 0.0865 | -0.0298 | 0.0521 | -253.9202 | -277.2366 | -2.8026 | -2.8477 |
| 0.6778 | 2.43 | 800 | 0.6875 | 0.0604 | 0.6795 | 0.0800 | 0.0518 | 0.6825 | 0.0282 | 0.0897 | -0.0307 | 0.0540 | -254.0074 | -277.2222 | -2.8024 | -2.8474 |
| 0.6739 | 2.74 | 900 | 0.6878 | 0.0651 | 0.6793 | 0.0802 | 0.0515 | 0.6706 | 0.0287 | 0.0914 | -0.0317 | 0.0550 | -254.0345 | -277.2037 | -2.8028 | -2.8477 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2 |