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Configuration-based use of HF hub-hosted datasets for training (#701)

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* Add hf_dataset configuration for using HF hub-hosted datasets for (Q)LoRA training

* Pre-commit formatting

* Fix YAML config example

* Print DS info

* Include name

* Add hf_dataset parameter default

* Remove TextHFDataset and CompletionsHFDataset and use Dataset and CompletionsDataset instead, adding a text_key constructor argument to the former (and changing it to work with a provided data structure instead of just from a JSON file), and prompt_key and completion_key arguments to the latter with defaults for backwards compatibility.

* nits

* update docs

---------

Co-authored-by: Awni Hannun <awni@apple.com>
This commit is contained in:
Chime Ogbuji
2024-06-26 13:20:50 -04:00
committed by GitHub
parent 1d701a1831
commit df6bc09d74
7 changed files with 140 additions and 28 deletions
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8
llms/mlx_lm/examples/lora_config.yaml
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@@ -69,3 +69,11 @@ lora_parameters:
# warmup: 100 # 0 for no warmup
# warmup_init: 1e-7 # 0 if not specified
# arguments: [1e-5, 1000, 1e-7] # passed to scheduler
#hf_dataset:
# name: "billsum"
# train_split: "train[:1000]"
# valid_split: "train[-100:]"
# prompt_feature: "text"
# completion_feature: "summary"