File size: 2,868 Bytes
6e44a4f 6dd59ca b227adb 6e44a4f 6dd59ca 6e44a4f 6dd59ca 6e44a4f b227adb 6e44a4f b227adb 6e44a4f b227adb 6e44a4f b227adb 6e44a4f b227adb 6e44a4f fe3448c 6e44a4f b227adb 6e44a4f b227adb |
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
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
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 HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5028
- Rewards/chosen: -0.9469
- Rewards/rejected: -1.8932
- Rewards/accuracies: 0.7656
- Rewards/margins: 0.9463
- Logps/rejected: -451.4661
- Logps/chosen: -357.2325
- Logits/rejected: 1.5731
- Logits/chosen: 0.6530
## 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: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 64
- 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 | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
| 0.5545 | 0.21 | 100 | -1.3212 | -1.0287 | -312.0799 | -374.3159 | 0.5658 | 0.7188 | -0.4953 | 0.6264 | -1.1217 |
| 0.5026 | 0.42 | 200 | -0.1773 | 0.5190 | -352.4985 | -439.3264 | 0.5202 | 0.7461 | -0.8995 | 0.8723 | -1.7718 |
| 0.5106 | 0.63 | 300 | 0.0862 | 0.9099 | -342.0043 | -424.9976 | 0.5104 | 0.7656 | -0.7946 | 0.8339 | -1.6285 |
| 0.4859 | 0.84 | 400 | 0.7818 | 1.7438 | -360.3139 | -457.9452 | 0.5031 | 0.7578 | -0.9777 | 0.9803 | -1.9580 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0
|