YAML Metadata
Warning:
The pipeline tag "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
license: mit datasets: - datatab/SrpWikiDataset - datatab/open-orca-slim-serbian language: - sr base_model: - datatab/Yugo55A-GPT
- Developed by: datatab
- License: mit
π Results
Results obtained through the Serbian LLM Evaluation Benchmark
MODEL | ARC-E | ARC-C | Hellaswag | PiQA | Winogrande | BoolQ | OpenbookQA | OZ_EVAL | SCORE |
---|---|---|---|---|---|---|---|---|---|
YugoGPT-Florida | 0.6918 | 0.5766 | 0.4037 | 0.7374 | 0.5782 | 0.8685 | 0.5918 | 0.7407 | 64,85875 |
Yugo55A-GPT | 0.5846 | 0.5185 | 0.3686 | 0.7076 | 0.5277 | 0.8584 | 0.5485 | 0.6883 | 60,0275 |
Yugo60-GPT | 0.4948 | 0.4542 | 0.3342 | 0.6897 | 0.5138 | 0.8212 | 0.5155 | 0.6379 | 55,76625 |
Yugo45-GPT | 0.4049 | 0.3900 | 0.2812 | 0.6055 | 0.4992 | 0.5793 | 0.4433 | 0.6111 | 47,68125 |
ποΈ Training Stats
π» Usage
*** Released with permission by datatab *** - GGUF quantized by @MarkoRadojcic
π‘ Contributions Welcome!
Have ideas, bug fixes, or want to add a custom model? We'd love for you to be part of the journey! Contributions help grow and enhance the capabilities of the YugoGPT-Florida.
π Citation
Thanks for using YugoGPT-Florida β where language learning models meet Serbian precision and creativity! Let's build smarter models together. ποΏ½
If you find this model useful in your research, please cite it as follows:
@article{YugoGPT-Florida},
title={YugoGPT-Florida},
author={datatab},
year={2024},
url={https://huggingface.co/datatab/YugoGPT-Florida}
}

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