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{
"model_card": {
"Date & Time": "2024-04-07T01:56:02.043003",
"Model Card": [
"https://huggingface.co/LouisML/tinyllama_32k"
],
"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": {
"Create Dataset of Locations": {
"Date & Time": "2024-04-06T10:17:45.009636"
},
"zipped(Create Dataset of Locations, Generate Fiction for Each Location (select_columns))": {
"Date & Time": "2024-04-06T15:17:35.786655"
},
"zipped(zipped(Create Dataset of Locations, Generate Fiction for Each Location (select_columns)), Clean Location Subset JSON)": {
"Date & Time": "2024-04-06T15:17:39.288866"
},
"zipped(zipped(Create Dataset of Locations, Generate Fiction for Each Location (select_columns)), Clean Location Subset JSON) (train split)": {
"Date & Time": "2024-04-06T15:17:39.562538"
}
},
"__version__": "0.28.0",
"datetime": "2024-04-06T23:37:47.115672",
"type": "TrainHFFineTune",
"name": "Train a Fictional Story => DAGGER JSON Model",
"version": 1.0,
"fingerprint": "91f4a2305e0abfa9",
"req_versions": {
"dill": "0.3.8",
"sqlitedict": "2.1.0",
"torch": "2.2.2",
"numpy": "1.26.4",
"transformers": "4.39.3",
"datasets": "2.18.0",
"huggingface_hub": "0.22.2",
"accelerate": "0.28.0",
"peft": "0.10.0",
"tiktoken": "0.6.0",
"tokenizers": "0.15.2",
"openai": "1.16.2",
"ctransformers": "0.2.27",
"optimum": "1.18.0",
"bitsandbytes": "0.43.0",
"litellm": "1.31.14",
"trl": "0.8.1",
"setfit": "1.0.3"
},
"interpreter": "3.10.9 (main, Apr 17 2023, 21:32:03) [GCC 7.5.0]"
} |