Fix expected loss values in some (m)T5 tests (#18177)
* fix expected loss values Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
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@@ -69,5 +69,5 @@ class TFMT5ModelIntegrationTest(unittest.TestCase):
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loss = model(input_ids, labels=labels).loss
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loss = model(input_ids, labels=labels).loss
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mtf_score = -tf.math.reduce_mean(loss).numpy()
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mtf_score = -tf.math.reduce_mean(loss).numpy()
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EXPECTED_SCORE = -21.210594
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EXPECTED_SCORE = -21.228168
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self.assertTrue(abs(mtf_score - EXPECTED_SCORE) < 2e-4)
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self.assertTrue(abs(mtf_score - EXPECTED_SCORE) < 2e-4)
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@@ -661,7 +661,7 @@ class TFT5ModelIntegrationTests(unittest.TestCase):
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loss = model(input_ids, labels=labels).loss
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loss = model(input_ids, labels=labels).loss
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mtf_score = -tf.math.reduce_mean(loss).numpy()
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mtf_score = -tf.math.reduce_mean(loss).numpy()
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EXPECTED_SCORE = -4.7710114
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EXPECTED_SCORE = -4.771147
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self.assertTrue(abs(mtf_score - EXPECTED_SCORE) < 1e-4)
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self.assertTrue(abs(mtf_score - EXPECTED_SCORE) < 1e-4)
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@slow
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@slow
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@@ -687,7 +687,7 @@ class TFT5ModelIntegrationTests(unittest.TestCase):
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loss = model(input_ids, labels=labels).loss
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loss = model(input_ids, labels=labels).loss
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mtf_score = -tf.math.reduce_mean(loss).numpy()
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mtf_score = -tf.math.reduce_mean(loss).numpy()
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EXPECTED_SCORE = -14.759922
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EXPECTED_SCORE = -14.757326
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self.assertTrue(abs(mtf_score - EXPECTED_SCORE) < 1e-4)
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self.assertTrue(abs(mtf_score - EXPECTED_SCORE) < 1e-4)
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@slow
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@slow
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@@ -711,7 +711,7 @@ class TFT5ModelIntegrationTests(unittest.TestCase):
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loss = model(input_ids, labels=labels).loss
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loss = model(input_ids, labels=labels).loss
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mtf_score = -tf.math.reduce_mean(loss).numpy()
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mtf_score = -tf.math.reduce_mean(loss).numpy()
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EXPECTED_SCORE = -7.594554
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EXPECTED_SCORE = -7.592465
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self.assertTrue(abs(mtf_score - EXPECTED_SCORE) < 1e-4)
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self.assertTrue(abs(mtf_score - EXPECTED_SCORE) < 1e-4)
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@slow
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@slow
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