Downloads · 30 days
5
13% of all-time downloads
zephyr-7b-dpo-full
FrankWu96/zephyr-7b-dpo-full
zephyr-7b-dpo-full is a machine learning model from FrankWu96. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
40
Public
Parameters
7.2B
72.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors14.5 GB · 100%
At a glance
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- Aug 15, 2024
- Updated
- Aug 15, 2024
- SHA
- 569d3398
Base models
Model card
From the Hugging Face model README
<!-- 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 on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:
- Loss: 0.5025
- Rewards/chosen: -1.0211
- Rewards/rejected: -2.0056
- Rewards/accuracies: 0.7773
- Rewards/margins: 0.9845
- Logps/rejected: -463.2262
- Logps/chosen: -364.7427
- Logits/rejected: 1.5124
- Logits/chosen: 0.6094
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 | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.5655 | 0.2092 | 100 | 0.5746 | -0.7161 | -1.2966 | 0.7070 | 0.5805 | -392.3193 | -334.2372 | -0.4365 | -0.6501 |
| 0.5457 | 0.4184 | 200 | 0.5249 | -0.9842 | -1.7929 | 0.7773 | 0.8086 | -441.9472 | -361.0536 | 0.9213 | 0.3160 |
| 0.4955 | 0.6276 | 300 | 0.5092 | -0.9649 | -1.8656 | 0.7656 | 0.9007 | -449.2220 | -359.1224 | 1.2341 | 0.4705 |
| 0.5033 | 0.8368 | 400 | 0.5032 | -1.0014 | -1.9606 | 0.7734 | 0.9592 | -458.7184 | -362.7651 | 1.3908 | 0.5145 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- mistral
- License
- apache-2.0
- Created
- Aug 15, 2024
- Updated
- Aug 15, 2024