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fix for max sequence len across different model types

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This commit is contained in:
Wing Lian
2023-06-09 20:42:33 -04:00
parent 6b50200234
commit 7f09106437
1 changed files with 8 additions and 1 deletions
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9
src/axolotl/utils/models.py
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@@ -255,8 +255,15 @@ def load_model(
) )
# Shouldn't be a problem most of the time. will obviously error if the model doesn't support this # Shouldn't be a problem most of the time. will obviously error if the model doesn't support this
# when training starts # when training starts
if config.max_seq_len and cfg.sequence_len > config.max_seq_len: if hasattr(config, "max_seq_len") and cfg.sequence_len > config.max_seq_len:
config.max_seq_len = cfg.sequence_len config.max_seq_len = cfg.sequence_len
logging.warning(f"increasing context length to {cfg.sequence_len}")
elif (
hasattr(config, "max_sequence_length")
and cfg.sequence_len > config.max_sequence_length
):
config.max_sequence_length = cfg.sequence_len
logging.warning(f"increasing context length to {cfg.sequence_len}")
model = AutoModelForCausalLM.from_pretrained( model = AutoModelForCausalLM.from_pretrained(
base_model, base_model,
config=config, config=config,