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Updates to LoRA documentation

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Chime Ogbuji 2024-11-03 19:41:09 -05:00 committed by Awni Hannun
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llms/mlx_lm/LORA.md
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@ -283,7 +283,7 @@ it on the command line. For example, pass `--data mlx-community/wikisql` to
train on the pre-formatted WikiwSQL data.
Otherwise, provide a mapping of keys in the dataset to the features MLX LM
expects. Use a YAML config to specify the Hugging Face dataset arguments. For
expects. Use a YAML config to specify the Hugging Face (HF) dataset arguments. For
example:
```yaml
@ -295,11 +295,30 @@ hf_dataset:
- Use `prompt_feature` and `completion_feature` to specify keys for a
`completions` dataset. Use `text_feature` to specify the key for a `text`
dataset.
dataset. Use `chat_feature` to specify the key for a chat dataset.
- To specify the train, valid, or test splits, set the corresponding
`{train,valid,test}_split` argument.
You can specify a list of HF datasets using the `hf_datasets` (plural) configuration, which is a list of records
each with the same structure as above. For example:
```yaml
hf_datasets: [
"hf_dataset":
name: "Open-Orca/OpenOrca"
train_split: "train[:90%]"
valid_split: "train[-10%:]"
prompt_feature: "question"
completion_feature: "response",
"hf_dataset":
name: "trl-lib/ultrafeedback_binarized"
train_split: "train[:90%]"
valid_split: "train[-10%:]"
chat_feature: "chosen"
]
```
- Arguments specified in `config` will be passed as keyword arguments to
[`datasets.load_dataset`](https://huggingface.co/docs/datasets/v2.20.0/en/package_reference/loading_methods#datasets.load_dataset).