File size: 3,363 Bytes
c38fd08 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 |
---
license: apache-2.0
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: alignment-handbook/zephyr-7b-sft-full
model-index:
- name: zephyr-7b-dpo-selfgen
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-selfgen
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: 0.0000
- Rewards/chosen: -6.6466
- Rewards/rejected: -19.5106
- Rewards/accuracies: 1.0
- Rewards/margins: 12.8639
- Logps/rejected: -1996.6047
- Logps/chosen: -731.7379
- Logits/rejected: -2.0588
- Logits/chosen: -2.4883
## 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: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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: 3.0
### Training results
| Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
|:-------------:|:-----:|:-----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
| 0.0241 | 0.42 | 7000 | -2.8328 | -2.8312 | -143.5124 | -856.1008 | 0.0101 | 1.0 | -0.7644 | 7.3411 | -8.1055 |
| 0.0001 | 0.83 | 14000 | -2.3450 | -1.9435 | -714.5292 | -1741.5647 | 0.0002 | 1.0 | -6.4745 | 10.4856 | -16.9602 |
| 0.0003 | 1.25 | 21000 | -2.4293 | -2.0264 | -695.5377 | -1973.5151 | 0.0001 | 1.0 | -6.2846 | 12.9950 | -19.2797 |
| 0.0 | 1.67 | 28000 | -2.5393 | -2.1793 | -619.2334 | -1821.8682 | 0.0001 | 1.0 | -5.5216 | 12.2416 | -17.7632 |
| 0.0001 | 2.09 | 35000 | -2.4633 | -1.9800 | -817.4478 | -2071.8862 | 0.0000 | 1.0 | -7.5037 | 12.7596 | -20.2634 |
| 0.0 | 2.5 | 42000 | -2.4883 | -2.0593 | -730.7642 | -2000.8484 | 0.0000 | 1.0 | -6.6369 | 12.9161 | -19.5530 |
| 0.0001 | 2.92 | 49000 | -2.4895 | -2.0591 | -732.9475 | -1999.9326 | 0.0000 | 1.0 | -6.6587 | 12.8851 | -19.5438 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2 |