|
--- |
|
license: llama2 |
|
tags: |
|
- alignment-handbook |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
base_model: elichen3051/llama2-7b-sft-chat-no-template |
|
datasets: |
|
- HuggingFaceH4/ultrafeedback_binarized |
|
- HuggingFaceH4/orca_dpo_pairs |
|
- HuggingFaceH4/cai-conversation-harmless |
|
model-index: |
|
- name: Llama2-7b-sft-chat-custom-template-dpo |
|
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/eli3051/huggingface/runs/6n0utdab) |
|
# Llama2-7b-sft-chat-custom-template-dpo |
|
|
|
This model is a fine-tuned version of [elichen3051/llama2-7b-sft-chat-no-template](https://huggingface.co/elichen3051/llama2-7b-sft-chat-no-template) on the HuggingFaceH4/ultrafeedback_binarized, the HuggingFaceH4/orca_dpo_pairs and the HuggingFaceH4/cai-conversation-harmless datasets. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4717 |
|
- Rewards/chosen: -1.6807 |
|
- Rewards/rejected: -3.1957 |
|
- Rewards/accuracies: 0.6345 |
|
- Rewards/margins: 1.5150 |
|
- Logps/rejected: -519.5196 |
|
- Logps/chosen: -379.2986 |
|
- Logits/rejected: -2.7275 |
|
- Logits/chosen: -2.7213 |
|
|
|
## 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: 7 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 448 |
|
- total_eval_batch_size: 56 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.03 |
|
- num_epochs: 2 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
|
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.6727 | 0.2032 | 43 | 0.6714 | -0.0530 | -0.0999 | 0.5871 | 0.0470 | -209.9431 | -216.5270 | -2.2167 | -2.2006 | |
|
| 0.6056 | 0.4064 | 86 | 0.6041 | -0.5876 | -0.8878 | 0.6023 | 0.3002 | -288.7347 | -269.9940 | -3.0277 | -3.0177 | |
|
| 0.573 | 0.6096 | 129 | 0.5451 | -0.9286 | -1.6015 | 0.6174 | 0.6729 | -360.0960 | -304.0913 | -2.9301 | -2.9238 | |
|
| 0.5239 | 0.8128 | 172 | 0.5123 | -1.2863 | -2.2358 | 0.6288 | 0.9495 | -423.5324 | -339.8588 | -2.9884 | -2.9803 | |
|
| 0.4668 | 1.0159 | 215 | 0.4945 | -1.4994 | -2.6377 | 0.6439 | 1.1383 | -463.7195 | -361.1752 | -2.5910 | -2.5843 | |
|
| 0.4607 | 1.2191 | 258 | 0.4816 | -1.5810 | -2.8887 | 0.6402 | 1.3077 | -488.8177 | -369.3280 | -2.8026 | -2.7951 | |
|
| 0.5068 | 1.4223 | 301 | 0.4764 | -1.5805 | -3.0061 | 0.6402 | 1.4256 | -500.5590 | -369.2790 | -2.7586 | -2.7513 | |
|
| 0.4724 | 1.6255 | 344 | 0.4730 | -1.6832 | -3.1741 | 0.6383 | 1.4909 | -517.3631 | -379.5493 | -2.6296 | -2.6237 | |
|
| 0.4836 | 1.8287 | 387 | 0.4718 | -1.6795 | -3.1900 | 0.6420 | 1.5105 | -518.9514 | -379.1832 | -2.6434 | -2.6374 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.42.0.dev0 |
|
- Pytorch 2.3.1 |
|
- Datasets 2.19.2 |
|
- 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_skymizer__Llama2-7b-sft-chat-custom-template-dpo) |
|
|
|
| Metric |Value| |
|
|-------------------|----:| |
|
|Avg. |10.07| |
|
|IFEval (0-Shot) |23.53| |
|
|BBH (3-Shot) |11.24| |
|
|MATH Lvl 5 (4-Shot)| 0.98| |
|
|GPQA (0-shot) | 0.00| |
|
|MuSR (0-shot) |14.12| |
|
|MMLU-PRO (5-shot) |10.52| |
|
|
|
|
