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Update datadreamer.json

datadreamer.json

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+{
+    "model_card": {
+        "Date & Time": "2024-06-22T12:12:32.445548",
+        "Model Card": [
+            "https://huggingface.co/google/t5-v1_1-base"
+        ],
+        "License Information": [
+            "apache-2.0"
+        ],
+        "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"
+        ]
+    },
+    "data_card": {
+        "Generate Research Paper Abstracts": {
+            "Date & Time": "2024-06-22T10:58:16.666642",
+            "Model Name": [
+                "gpt-4"
+            ],
+            "Model Card": [
+                "https://cdn.openai.com/papers/gpt-4-system-card.pdf"
+            ],
+            "License Information": [
+                "https://openai.com/policies"
+            ],
+            "Citation Information": [
+                "@article{OpenAI2023GPT4TR,\n  title={GPT-4 Technical Report},\n  author={OpenAI},\n  journal={ArXiv},\n  year={2023},\n  volume={abs/2303.08774},\n  url={https://api.semanticscholar.org/CorpusID:257532815}\n}",
+                "@article{ouyang2022training,\n  title={Training language models to follow instructions with human feedback},\n  author={Ouyang, Long and Wu, Jeffrey and Jiang, Xu and Almeida, Diogo and Wainwright, Carroll and Mishkin, Pamela and Zhang, Chong and Agarwal, Sandhini and Slama, Katarina and Ray, Alex and others},\n  journal={Advances in Neural Information Processing Systems},\n  volume={35},\n  pages={27730--27744},\n  year={2022}\n}"
+            ]
+        },
+        "Generate Tweets from Abstracts": {
+            "Date & Time": "2024-06-22T10:58:55.064072",
+            "Model Name": [
+                "gpt-4"
+            ],
+            "Model Card": [
+                "https://cdn.openai.com/papers/gpt-4-system-card.pdf"
+            ],
+            "License Information": [
+                "https://openai.com/policies"
+            ],
+            "Citation Information": [
+                "@article{OpenAI2023GPT4TR,\n  title={GPT-4 Technical Report},\n  author={OpenAI},\n  journal={ArXiv},\n  year={2023},\n  volume={abs/2303.08774},\n  url={https://api.semanticscholar.org/CorpusID:257532815}\n}",
+                "@article{ouyang2022training,\n  title={Training language models to follow instructions with human feedback},\n  author={Ouyang, Long and Wu, Jeffrey and Jiang, Xu and Almeida, Diogo and Wainwright, Carroll and Mishkin, Pamela and Zhang, Chong and Agarwal, Sandhini and Slama, Katarina and Ray, Alex and others},\n  journal={Advances in Neural Information Processing Systems},\n  volume={35},\n  pages={27730--27744},\n  year={2022}\n}"
+            ]
+        },
+        "Generate Tweets from Abstracts (train split)": {
+            "Date & Time": "2024-06-22T10:58:55.091788"
+        }
+    },
+    "__version__": "0.28.0",
+    "datetime": "2024-06-22T10:58:56.752118",
+    "type": "TrainHFFineTune",
+    "name": "Train an Abstract => Tweet Model",
+    "version": 1.0,
+    "fingerprint": "7ac09ad132f2a9e6",
+    "req_versions": {
+        "dill": "0.3.8",
+        "sqlitedict": "2.1.0",
+        "torch": "2.3.1",
+        "numpy": "1.26.4",
+        "transformers": "4.41.2",
+        "datasets": "2.20.0",
+        "huggingface_hub": "0.23.4",
+        "accelerate": "0.31.0",
+        "peft": "0.11.1",
+        "tiktoken": "0.7.0",
+        "tokenizers": "0.19.1",
+        "openai": "1.35.3",
+        "ctransformers": "0.2.27",
+        "optimum": "1.20.0",
+        "bitsandbytes": "0.42.0",
+        "litellm": "1.31.14",
+        "trl": "0.8.1",
+        "setfit": "1.0.3"
+    },
+    "interpreter": "3.10.14 (main, Mar 19 2024, 21:46:16) [Clang 15.0.0 (clang-1500.3.9.4)]"
+}