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Improve LISA layers_attribute mapping logics #746

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Apr 6, 2024
Merged

Improve LISA layers_attribute mapping logics #746

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24 changes: 12 additions & 12 deletions src/lmflow/pipeline/finetuner.py
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Original file line number Diff line number Diff line change
Expand Up @@ -304,19 +304,19 @@ def __init__(self, n_layers, interval_steps, model):
self.n_layers = n_layers
self.interval_steps = interval_steps
self.model = model

# Determine the way to access layers based on the model type
if self.model.__class__.__name__ == 'LlamaForCausalLM':
self.layers_attribute = 'model.model.layers' # Layer access path for LlamaForCausalLM
elif self.model.__class__.__name__ == 'Qwen2ForCausalLM':
self.layers_attribute = 'model.model.layers' # Layer access path for Qwen model
elif self.model.__class__.__name__ == 'MistralForCausalLM':
self.layers_attribute = 'model.model.layers'
elif self.model.__class__.__name__ == 'MixtralForCausalLM':
self.layers_attribute = 'model.model.layers'
elif self.model.__class__.__name__ == 'GemmaForCausalLM':
self.layers_attribute = 'model.model.layers'
elif self.model.__class__.__name__ == 'GPT2LMHeadModel':
self.layers_attribute = 'model.transformer.h'
class_to_layers_map = {
'LlamaForCausalLM': 'model.model.layers',
'Qwen2ForCausalLM': 'model.model.layers',
'MistralForCausalLM': 'model.model.layers',
'MixtralForCausalLM': 'model.model.layers',
'GemmaForCausalLM': 'model.model.layers',
'GPT2LMHeadModel': 'model.transformer.h',
}
model_class_name = self.model.__class__.__name__
if model_class_name in class_to_layers_map:
self.layers_attribute = class_to_layers_map[model_class_name]
else:
self.layers_attribute = training_args.lisa_layers_attribute
self.total_layers = len(eval('self.' + self.layers_attribute)) # Dynamically execute to get the number of layers
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