StyleDistance/styledistance

1{2    "model_card": {3        "Date & Time": "2024-08-05T13:02:15.447523",4        "Model Card": [5            "https://huggingface.co/FacebookAI/roberta-base"6        ],7        "License Information": [8            "mit"9        ],10        "Citation Information": [11            "\n@inproceedings{Wolf_Transformers_State-of-the-Art_Natural_2020,\n  author = {Wolf, Thomas and Debut, Lysandre and Sanh, Victor and Chaumond, Julien",12            "\n@Misc{peft,\n  title =        {PEFT: State-of-the-art Parameter-Efficient Fine-Tuning methods},\n  author =       {Sourab Mangrulkar and Sylvain Gugger and Lysandre Debut and Younes",13            "@article{DBLP:journals/corr/abs-1907-11692,\n  author    = {Yinhan Liu and\n               Myle Ott and\n               Naman Goyal and\n               Jingfei Du and\n               Mandar Joshi and\n               Danqi Chen and\n               Omer Levy and\n               Mike Lewis and\n               Luke Zettlemoyer and\n               Veselin Stoyanov},\n  title     = {RoBERTa: {A} Robustly Optimized {BERT} Pretraining Approach},\n  journal   = {CoRR},\n  volume    = {abs/1907.11692},\n  year      = {2019},\n  url       = {http://arxiv.org/abs/1907.11692},\n  archivePrefix = {arXiv},\n  eprint    = {1907.11692},\n  timestamp = {Thu, 01 Aug 2019 08:59:33 +0200},\n  biburl    = {https://dblp.org/rec/journals/corr/abs-1907-11692.bib},\n  bibsource = {dblp computer science bibliography, https://dblp.org}\n}",14            "@inproceedings{reimers-2019-sentence-bert,\n  title = \"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\",\n  author = \"Reimers, Nils and Gurevych, Iryna\",\n  booktitle = \"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing\",\n  month = \"11\",\n  year = \"2019\",\n  publisher = \"Association for Computational Linguistics\",\n  url = \"https://arxiv.org/abs/1908.10084\",\n}"15        ]16    },17    "data_card": {18        "Get SynthSTEL Training Triplets Dataset": {19            "Date & Time": "2024-07-22T12:32:49.982528",20            "Dataset Name": [21                "SynthSTEL/styledistance_training_triplets"22            ],23            "Dataset Card": [24                "https://huggingface.co/datasets/SynthSTEL/styledistance_training_triplets"25            ]26        },27        "Get SynthSTEL Training Triplets Dataset (train split)": {28            "Date & Time": "2024-07-22T12:34:32.628286"29        },30        "Get SynthSTEL Training Triplets Dataset (train split) (shuffle)": {31            "Date & Time": "2024-07-22T12:40:47.902534"32        },33        "Get SynthSTEL Training Triplets Dataset (train split) (shuffle) (take)": {34            "Date & Time": "2024-07-22T12:40:53.004017"35        },36        "Get SynthSTEL Training Triplets Dataset (train split) (shuffle) (take) (select_columns)": {37            "Date & Time": "2024-07-22T12:40:54.367439"38        },39        "concat(Get SynthSTEL Training Triplets Dataset (train split) (shuffle) (take) (select_columns), Get SynthSTEL Training Triplets Dataset #2 (take))": {40            "Date & Time": "2024-07-22T12:43:44.056927"41        },42        "concat(Get SynthSTEL Training Triplets Dataset (train split) (shuffle) (take) (select_columns), Get SynthSTEL Training Triplets Dataset #2 (take)) (shuffle)": {43            "Date & Time": "2024-07-23T14:22:55.032374"44        }45    },46    "__version__": "0.35.0",47    "datetime": "2024-07-23T14:22:55.632236",48    "type": "TrainSentenceTransformer",49    "name": "Train Wegmann + StyleDistance Model",50    "version": 1.0,51    "fingerprint": "620cd4c756865563",52    "req_versions": {53        "dill": "0.3.8",54        "sqlitedict": "2.1.0",55        "torch": "2.3.1",56        "numpy": "1.26.4",57        "transformers": "4.40.1",58        "datasets": "2.17.0",59        "huggingface_hub": "0.23.4",60        "accelerate": "0.32.1",61        "peft": "0.11.1",62        "tiktoken": "0.7.0",63        "tokenizers": "0.19.1",64        "openai": "1.35.13",65        "ctransformers": "0.2.27",66        "optimum": "1.21.2",67        "bitsandbytes": "0.43.1",68        "litellm": "1.31.14",69        "trl": "0.8.1",70        "setfit": "1.0.3"71    },72    "interpreter": "3.10.9 (main, Apr 17 2023, 21:32:03) [GCC 7.5.0]"73}