--- license: cc-by-nc-nd-4.0 tags: - generated_from_trainer model-index: - name: UNA-TheBeagle-7b-v1 results: [] datasets: - jondurbin/bagel-v0.3 library_name: transformers --- # UNA-TheBeagle-7b-v1 TheBeagle, a model of 7B parameters trained on The Bagel dataset. DPO & UNA applied over a set of curated DPO Pairs. The dataset was generated using the original bagel code, including the decontamination step. As base model, we used the latest Intel's neural-chat model. It performs very good in many tasks, but its always better that you play with it by yourself. ![TheBeagle](https://huggingface.co/fblgit/UNA-TheBeagle-7b-v1/resolve/main/TheBeagle.png) ## Evaluations Ran with VLLM so expect them to dont be exactly as the one's shown in the board, but not too far :) ``` vllm (pretrained=fblgit/UNA-TheBeagle-7b-v1,dtype=auto,tensor_parallel_size=1,gpu_memory_utilization=0.8,data_parallel_size=8,trust_remote_code=True), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: 32 | Tasks |Version| Filter |n-shot| Metric |Value | |Stderr| |--------------|-------|----------|-----:|-----------|-----:|---|-----:| |arc_challenge |Yaml |none | 25|acc |0.7090|± |0.0133| | | |none | 25|acc_norm |0.7329|± |0.0129| |gsm8k |Yaml |get-answer| 5|exact_match|0.7210|± |0.0124| |hellaswag |Yaml |none | 10|acc |0.7202|± |0.0045| | | |none | 10|acc_norm |0.8792|± |0.0033| |truthfulqa_mc2|Yaml |none | 0|acc |0.7062|± |0.0151| |winogrande |Yaml |none | 5|acc |0.8366|± |0.0104| ``` ## UNA Details For this release, we only applied UNA thru the perceptrons. It was done at a 3.5e-7 speed, and the training loop code is also the original one of the bagel and transformers-4.35.2-UNA ## Prompt Im not entirely sure of it, as we used the vanilla version of the bagel training code. But a good model should be able to generalize with different prompt formats, so feel free to give it a shot. ## Citations Remember if you use UNA's models, cite it in your model card. ## Limitations Not for commercial use, and only for academic & research purposes.