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--- |
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license: mit |
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base_model: ZhangShenao/SELM-Zephyr-7B-iter-2 |
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tags: |
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- alignment-handbook |
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- dpo |
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- trl |
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- selm |
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datasets: |
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- HuggingFaceH4/ultrafeedback_binarized |
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model-index: |
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- name: SELM-Zephyr-7B-iter-3 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[Self-Exploring Language Models: Active Preference Elicitation for Online Alignment](https://arxiv.org/abs/2405.19332). |
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# SELM-Zephyr-7B-iter-3 |
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This model is a fine-tuned version of [ZhangShenao/SELM-Zephyr-7B-iter-2](https://huggingface.co/ZhangShenao/SELM-Zephyr-7B-iter-2) using synthetic data based on on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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## Model description |
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- Model type: A 7B parameter Zephyr-based Self-Exploring Language Models (SELM). |
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- License: MIT |
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## Results |
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| | AlpacaEval 2.0 (LC WR) | MT-Bench (Average) | |
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|----------------------------------------|------------------------|--------------------| |
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| [SELM-Zephyr-7B-iter-3](https://huggingface.co/ZhangShenao/SELM-Zephyr-7B-iter-3) |        24.00 |       7.48 | |
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| [SELM-Zephyr-7B-iter-2](https://huggingface.co/ZhangShenao/SELM-Zephyr-7B-iter-2) |        23.40 |       7.72 | |
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| [SELM-Zephyr-7B-iter-1](https://huggingface.co/ZhangShenao/SELM-Zephyr-7B-iter-1) |        20.28 |       7.42 | |
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| [DPO-Zephyr-7B](https://huggingface.co/ZhangShenao/DPO-Zephyr-7B) |        14.45 |       7.28 | |
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Our model also ranks highly on [WildBench](https://huggingface.co/spaces/allenai/WildBench)! 🔥 |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- alpha: 0.001 |
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- beta: 0.01 |
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- train_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 256 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- num_epochs: 1 |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.19.1 |
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