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README.md ADDED
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+ ---
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+ license: other
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: UNA-TheBeagle-7b-v1
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+ results: []
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+ ---
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+
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+ # UNA-TheBeagle-7b-v1
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+
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+ TheBeagle, a model of 7B parameters trained on The Bagel dataset. DPO & UNA applied over a set of curated DPO Pairs.
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+
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+ The dataset was generated using the original bagel code, including the decontamination step.
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+
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+ As base model, we used the latest Intel's neural-chat model.
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+
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+ It performs very good in many tasks, but its always better that you play with it by yourself.
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+
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+ ## Evaluations
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+
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+ Ran with VLLM so expect them to dont be exactly as the one's shown in the board, but not too far :)
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+
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+ ```
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+ 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
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+ | Tasks |Version| Filter |n-shot| Metric |Value | |Stderr|
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+ |--------------|-------|----------|-----:|-----------|-----:|---|-----:|
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+ |arc_challenge |Yaml |none | 25|acc |0.7090|± |0.0133|
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+ | | |none | 25|acc_norm |0.7329|± |0.0129|
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+ |gsm8k |Yaml |get-answer| 5|exact_match|0.7210|± |0.0124|
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+ |hellaswag |Yaml |none | 10|acc |0.7202|± |0.0045|
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+ | | |none | 10|acc_norm |0.8792|± |0.0033|
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+ |truthfulqa_mc2|Yaml |none | 0|acc |0.7062|± |0.0151|
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+ |winogrande |Yaml |none | 5|acc |0.8366|± |0.0104|
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+ ```
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+
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+ ## UNA Details
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+
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+ 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
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+
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+ ## Prompt
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+
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+ 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.
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+
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+ ## Citations
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+
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+ Remember if you use UNA's models, cite it in your model card.
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+
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+ ## Limitations
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+ Not for commercial use, and only for academic & research purposes.
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+ }
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