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fix LISA by ensuring params are not frozen during __init__

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This commit is contained in:
Aman Karmani
2024-04-01 06:57:28 +00:00
parent b357c93f23
commit 6185cd5227
1 changed files with 9 additions and 7 deletions
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16
src/axolotl/utils/callbacks/lisa.py
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@@ -16,7 +16,7 @@ from transformers import TrainerCallback
if TYPE_CHECKING:
from axolotl.core.trainer_builder import AxolotlTrainer
LOG = logging.getLogger("axolotl.callbacks")
LOG = logging.getLogger("axolotl.callbacks.lisa")
def lisa_callback_factory(trainer: "AxolotlTrainer"):
@@ -37,20 +37,22 @@ def lisa_callback_factory(trainer: "AxolotlTrainer"):
self.total_layers = len(
reduce(getattr, self.layers_attribute.split("."), self.trainer.model)
)
self.freeze_all_layers(True)
self.active_layers_indices = []
def freeze_all_layers(self, summarize=False):
layers = reduce(
getattr, self.layers_attribute.split("."), self.trainer.model
)
LOG.info(
f"LISA will activate {self.n_layers}/{len(layers)} layers ({self.n_layers*100/len(layers)}%) every {self.step_interval} steps"
)
def freeze_all_layers(self):
layers = reduce(
getattr, self.layers_attribute.split("."), self.trainer.model
)
for layer in layers:
for param in layer.parameters():
param.requires_grad = False
if summarize:
LOG.info(
f"Freezing {len(layers)} layers; will activate {self.n_layers} layers ({self.n_layers*100/len(layers)}%) every {self.step_interval} steps"
)
def on_step_begin(
self, args, state, control, **kwargs