Fix expected loss values in some (m)T5 tests (#18177)

* fix expected loss values

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar 2022-07-18 15:26:21 +02:00 committed by GitHub
parent 7417f3acb7
commit cb19c2afdc
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2 changed files with 4 additions and 4 deletions

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@ -69,5 +69,5 @@ class TFMT5ModelIntegrationTest(unittest.TestCase):
loss = model(input_ids, labels=labels).loss
mtf_score = -tf.math.reduce_mean(loss).numpy()
EXPECTED_SCORE = -21.210594
EXPECTED_SCORE = -21.228168
self.assertTrue(abs(mtf_score - EXPECTED_SCORE) < 2e-4)

View File

@ -661,7 +661,7 @@ class TFT5ModelIntegrationTests(unittest.TestCase):
loss = model(input_ids, labels=labels).loss
mtf_score = -tf.math.reduce_mean(loss).numpy()
EXPECTED_SCORE = -4.7710114
EXPECTED_SCORE = -4.771147
self.assertTrue(abs(mtf_score - EXPECTED_SCORE) < 1e-4)
@slow
@ -687,7 +687,7 @@ class TFT5ModelIntegrationTests(unittest.TestCase):
loss = model(input_ids, labels=labels).loss
mtf_score = -tf.math.reduce_mean(loss).numpy()
EXPECTED_SCORE = -14.759922
EXPECTED_SCORE = -14.757326
self.assertTrue(abs(mtf_score - EXPECTED_SCORE) < 1e-4)
@slow
@ -711,7 +711,7 @@ class TFT5ModelIntegrationTests(unittest.TestCase):
loss = model(input_ids, labels=labels).loss
mtf_score = -tf.math.reduce_mean(loss).numpy()
EXPECTED_SCORE = -7.594554
EXPECTED_SCORE = -7.592465
self.assertTrue(abs(mtf_score - EXPECTED_SCORE) < 1e-4)
@slow