|
--- |
|
license: gemma |
|
tags: |
|
- alignment-handbook |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
base_model: tanliboy/zephyr-gemma-2-9b-sft |
|
datasets: |
|
- HuggingFaceH4/ultrafeedback_binarized |
|
model-index: |
|
- name: zephyr-gemma-2-9b-dpo-2 |
|
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. --> |
|
|
|
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/tanliboy/huggingface/runs/dikk0994) |
|
# zephyr-gemma-2-9b-dpo-2 |
|
|
|
This model is a fine-tuned version of [tanliboy/zephyr-gemma-2-9b-sft](https://huggingface.co/tanliboy/zephyr-gemma-2-9b-sft) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5628 |
|
- Rewards/chosen: -0.7292 |
|
- Rewards/rejected: -1.2825 |
|
- Rewards/accuracies: 0.6960 |
|
- Rewards/margins: 0.5533 |
|
- Logps/rejected: -1566.9301 |
|
- Logps/chosen: -1043.5624 |
|
- Logits/rejected: -14.1720 |
|
- Logits/chosen: -14.6638 |
|
|
|
## 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: 2 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 8 |
|
- gradient_accumulation_steps: 16 |
|
- total_train_batch_size: 256 |
|
- 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: 0.2 |
|
- 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 | |
|
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.6835 | 0.2094 | 50 | 0.6815 | -0.0218 | -0.0436 | 0.6560 | 0.0218 | -328.0053 | -336.0947 | -11.6381 | -11.3403 | |
|
| 0.6243 | 0.4187 | 100 | 0.6229 | -0.5238 | -0.7528 | 0.6600 | 0.2290 | -1037.2136 | -838.1255 | -15.5098 | -15.6787 | |
|
| 0.5625 | 0.6281 | 150 | 0.5793 | -0.7186 | -1.1873 | 0.6880 | 0.4688 | -1471.7362 | -1032.8834 | -14.7746 | -15.1797 | |
|
| 0.5699 | 0.8375 | 200 | 0.5647 | -0.6443 | -1.1499 | 0.6920 | 0.5057 | -1434.3335 | -958.5825 | -14.1861 | -14.6684 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.43.1 |
|
- Pytorch 2.3.1+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
|
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) |
|
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_tanliboy__lambda-gemma-2-9b-dpo) |
|
|
|
| Metric |Value| |
|
|-------------------|----:| |
|
|Avg. |21.34| |
|
|IFEval (0-Shot) |45.01| |
|
|BBH (3-Shot) |35.55| |
|
|MATH Lvl 5 (4-Shot)| 0.00| |
|
|GPQA (0-shot) | 8.50| |
|
|MuSR (0-shot) | 7.94| |
|
|MMLU-PRO (5-shot) |31.02| |
|
|
|
|
