Pushed by DataDreamer

Update datadreamer.json

datadreamer.json

@@ -0,0 +1,53 @@
+{
+    "model_card": {
+        "Date & Time": "2025-03-03T18:31:20.155958",
+        "Model Card": [
+            "https://huggingface.co/BAAI/bge-m3"
+        ],
+        "License Information": [
+            "mit"
+        ],
+        "Citation Information": [
+            "\n@inproceedings{Wolf_Transformers_State-of-the-Art_Natural_2020,\n  author = {Wolf, Thomas and Debut, Lysandre and Sanh, Victor and Chaumond, Julien",
+            "\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",
+            "@misc{bge-m3,\n      title={BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation}, \n      author={Jianlv Chen and Shitao Xiao and Peitian Zhang and Kun Luo and Defu Lian and Zheng Liu},\n      year={2024},\n      eprint={2402.03216},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL}\n}",
+            "@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}"
+        ]
+    },
+    "data_card": {
+        "Raw Rows": {
+            "Date & Time": "2025-03-03T18:26:28.196376"
+        },
+        "Raw Rows (train split)": {
+            "Date & Time": "2025-03-03T18:26:28.313051"
+        }
+    },
+    "__version__": "0.46.0",
+    "datetime": "2025-03-03T18:28:16.948939",
+    "type": "TrainSentenceTransformer",
+    "name": "Train Matching Embedding",
+    "version": 1.0,
+    "fingerprint": "abe286abeaaa3dd7",
+    "req_versions": {
+        "dill": "0.3.8",
+        "sqlitedict": "2.1.0",
+        "torch": "2.5.1",
+        "numpy": "1.26.4",
+        "transformers": "4.48.2",
+        "datasets": "3.2.0",
+        "huggingface_hub": "0.27.1",
+        "accelerate": "1.3.0",
+        "peft": "0.14.0",
+        "tiktoken": "0.9.0",
+        "tokenizers": "0.21.0",
+        "openai": "1.59.8",
+        "ctransformers": "0.2.27",
+        "optimum": "1.23.3",
+        "bitsandbytes": "0.45.0",
+        "litellm": "1.57.8",
+        "trl": "0.9.6",
+        "setfit": "1.1.1",
+        "vllm": "0.7.0"
+    },
+    "interpreter": "3.11.10 | packaged by conda-forge | (main, Oct 16 2024, 01:27:36) [GCC 13.3.0]"
+}