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---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-full
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
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: 0.6929
- Rewards/chosen: -2.2624
- Rewards/rejected: -5.6900
- Rewards/accuracies: 0.7619
- Rewards/margins: 3.4275
- Logps/rejected: -348.8656
- Logps/chosen: -389.8162
- Logits/rejected: -2.8188
- Logits/chosen: -2.8149
## 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: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5504 | 0.1 | 100 | 0.5407 | 0.5287 | -0.1810 | 0.7579 | 0.7098 | -293.7762 | -361.9044 | -2.9360 | -2.9366 |
| 0.541 | 0.21 | 200 | 0.5221 | 0.6692 | -0.5569 | 0.7698 | 1.2261 | -297.5352 | -360.5003 | -2.9786 | -2.9802 |
| 0.6034 | 0.31 | 300 | 0.5459 | 0.7375 | -0.4578 | 0.7619 | 1.1953 | -296.5442 | -359.8170 | -3.0234 | -3.0360 |
| 0.5944 | 0.41 | 400 | 0.5573 | 0.4979 | -0.8938 | 0.7698 | 1.3917 | -300.9036 | -362.2126 | -2.9639 | -2.9621 |
| 0.5512 | 0.52 | 500 | 0.5257 | 0.4355 | -1.0167 | 0.7579 | 1.4522 | -302.1330 | -362.8364 | -3.0485 | -3.0406 |
| 0.5879 | 0.62 | 600 | 0.5288 | 0.4707 | -0.9291 | 0.7579 | 1.3998 | -301.2572 | -362.4848 | -2.9911 | -2.9869 |
| 0.6773 | 0.72 | 700 | 0.5853 | 0.0472 | -0.9185 | 0.7460 | 0.9657 | -301.1505 | -366.7194 | -3.0564 | -3.0418 |
| 0.5263 | 0.83 | 800 | 0.5151 | 0.2246 | -1.1914 | 0.7619 | 1.4160 | -303.8796 | -364.9458 | -2.9662 | -2.9637 |
| 0.5366 | 0.93 | 900 | 0.5134 | 0.2511 | -1.0873 | 0.75 | 1.3384 | -302.8385 | -364.6808 | -2.9824 | -2.9907 |
| 0.1034 | 1.03 | 1000 | 0.5107 | 0.3073 | -1.4321 | 0.7619 | 1.7394 | -306.2867 | -364.1185 | -2.9096 | -2.9202 |
| 0.1114 | 1.14 | 1100 | 0.5344 | 0.1332 | -1.8449 | 0.7460 | 1.9781 | -310.4148 | -365.8598 | -2.9561 | -2.9666 |
| 0.1338 | 1.24 | 1200 | 0.5350 | -0.0814 | -2.1418 | 0.7738 | 2.0604 | -313.3835 | -368.0058 | -2.9460 | -2.9508 |
| 0.0979 | 1.34 | 1300 | 0.5474 | -0.0945 | -2.2500 | 0.7659 | 2.1554 | -314.4657 | -368.1371 | -2.9172 | -2.9201 |
| 0.1366 | 1.44 | 1400 | 0.5440 | -0.4749 | -2.3968 | 0.7579 | 1.9219 | -315.9338 | -371.9403 | -2.9134 | -2.9144 |
| 0.1042 | 1.55 | 1500 | 0.5524 | -0.5014 | -2.6803 | 0.7698 | 2.1789 | -318.7686 | -372.2054 | -2.9361 | -2.9306 |
| 0.1313 | 1.65 | 1600 | 0.5333 | -0.2234 | -2.1867 | 0.75 | 1.9634 | -313.8333 | -369.4255 | -2.9060 | -2.8999 |
| 0.1629 | 1.75 | 1700 | 0.5655 | -0.3904 | -2.7591 | 0.75 | 2.3687 | -319.5572 | -371.0959 | -2.9182 | -2.9096 |
| 0.0993 | 1.86 | 1800 | 0.5605 | -0.7117 | -2.9701 | 0.7460 | 2.2584 | -321.6668 | -374.3084 | -2.8602 | -2.8477 |
| 0.1116 | 1.96 | 1900 | 0.5649 | -0.6379 | -2.7259 | 0.7540 | 2.0880 | -319.2250 | -373.5707 | -2.9277 | -2.9150 |
| 0.0193 | 2.06 | 2000 | 0.6122 | -0.9412 | -3.7861 | 0.7619 | 2.8449 | -329.8275 | -376.6041 | -2.8919 | -2.8825 |
| 0.0175 | 2.17 | 2100 | 0.6523 | -1.6027 | -4.6832 | 0.7659 | 3.0805 | -338.7977 | -383.2186 | -2.8474 | -2.8393 |
| 0.0131 | 2.27 | 2200 | 0.6702 | -1.8899 | -5.0304 | 0.7421 | 3.1406 | -342.2704 | -386.0904 | -2.8128 | -2.8069 |
| 0.0243 | 2.37 | 2300 | 0.6559 | -1.6715 | -4.7369 | 0.7698 | 3.0654 | -339.3347 | -383.9066 | -2.8547 | -2.8490 |
| 0.0142 | 2.48 | 2400 | 0.6734 | -1.9463 | -5.1224 | 0.7579 | 3.1761 | -343.1900 | -386.6547 | -2.8394 | -2.8352 |
| 0.0211 | 2.58 | 2500 | 0.6890 | -2.1114 | -5.5608 | 0.7698 | 3.4494 | -347.5744 | -388.3059 | -2.8369 | -2.8333 |
| 0.011 | 2.68 | 2600 | 0.6999 | -2.3020 | -5.8073 | 0.7659 | 3.5053 | -350.0389 | -390.2114 | -2.8299 | -2.8258 |
| 0.0114 | 2.79 | 2700 | 0.6951 | -2.2382 | -5.6885 | 0.7698 | 3.4503 | -348.8512 | -389.5739 | -2.8207 | -2.8172 |
| 0.0437 | 2.89 | 2800 | 0.6911 | -2.2294 | -5.6156 | 0.7659 | 3.3861 | -348.1217 | -389.4860 | -2.8151 | -2.8117 |
| 0.0109 | 2.99 | 2900 | 0.6909 | -2.2776 | -5.6932 | 0.7659 | 3.4156 | -348.8980 | -389.9677 | -2.8187 | -2.8148 |
### Framework versions
- Transformers 4.35.0
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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