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LLaMA-Factory-Mirror
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fix #4683

This commit is contained in:
hiyouga 2024-07-05 00:58:05 +08:00
parent ed232311e8
commit e43809bced
2 changed files with 8 additions and 1 deletions
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6
src/llamafactory/data/processors/processor_utils.py
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@ -79,6 +79,9 @@ def get_paligemma_token_type_ids(input_len: int, processor: "ProcessorMixin") ->
def infer_seqlen(source_len: int, target_len: int, cutoff_len: int) -> Tuple[int, int]: def infer_seqlen(source_len: int, target_len: int, cutoff_len: int) -> Tuple[int, int]:
r"""
Computes the real sequence length after truncation by the cutoff_len.
"""
if target_len * 2 < cutoff_len: # truncate source if target_len * 2 < cutoff_len: # truncate source
max_target_len = cutoff_len max_target_len = cutoff_len
elif source_len * 2 < cutoff_len: # truncate target elif source_len * 2 < cutoff_len: # truncate target
@ -87,5 +90,6 @@ def infer_seqlen(source_len: int, target_len: int, cutoff_len: int) -> Tuple[int
max_target_len = int(cutoff_len * (target_len / (source_len + target_len))) max_target_len = int(cutoff_len * (target_len / (source_len + target_len)))
new_target_len = min(max_target_len, target_len) new_target_len = min(max_target_len, target_len)
new_source_len = max(cutoff_len - new_target_len, 0) max_source_len = max(cutoff_len - new_target_len, 0)
new_source_len = min(max_source_len, source_len)
return new_source_len, new_target_len return new_source_len, new_target_len

3
tests/data/test_processor.py
View File

@ -26,6 +26,9 @@ from llamafactory.data.processors.processor_utils import infer_seqlen
((2000, 3000, 1000), (400, 600)), ((2000, 3000, 1000), (400, 600)),
((1000, 100, 1000), (900, 100)), ((1000, 100, 1000), (900, 100)),
((100, 1000, 1000), (100, 900)), ((100, 1000, 1000), (100, 900)),
((100, 500, 1000), (100, 500)),
((500, 100, 1000), (500, 100)),
((10, 10, 1000), (10, 10)),
], ],
) )
def test_infer_seqlen(test_input: Tuple[int, int, int], test_output: Tuple[int, int]): def test_infer_seqlen(test_input: Tuple[int, int, int], test_output: Tuple[int, int]):