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# What does this PR do? the post training docs are missing references to the more indepth `huggingface.md` and `torchtune.md` which explain how to actually use the providers. These files show up in search though. Add references to these files into the `inline_..md` files currently pointed to by `index.md` Signed-off-by: Charlie Doern <cdoern@redhat.com>
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1.2 KiB
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inline::huggingface
Description
HuggingFace-based post-training provider for fine-tuning models using the HuggingFace ecosystem.
Configuration
| Field | Type | Required | Default | Description |
|---|---|---|---|---|
device |
<class 'str'> |
No | cuda | |
distributed_backend |
Literal['fsdp', 'deepspeed' |
No | ||
checkpoint_format |
Literal['full_state', 'huggingface' |
No | huggingface | |
chat_template |
<class 'str'> |
No | ||
model_specific_config |
<class 'dict'> |
No | {'trust_remote_code': True, 'attn_implementation': 'sdpa'} | |
max_seq_length |
<class 'int'> |
No | 2048 | |
gradient_checkpointing |
<class 'bool'> |
No | False | |
save_total_limit |
<class 'int'> |
No | 3 | |
logging_steps |
<class 'int'> |
No | 10 | |
warmup_ratio |
<class 'float'> |
No | 0.1 | |
weight_decay |
<class 'float'> |
No | 0.01 | |
dataloader_num_workers |
<class 'int'> |
No | 4 | |
dataloader_pin_memory |
<class 'bool'> |
No | True |
Sample Configuration
checkpoint_format: huggingface
distributed_backend: null
device: cpu