[`Blip`] Fix slow tests and doctests with correct values (#22632)

fix slow tests and doctests

src/transformers/models/blip/modeling_blip.py

@@ -1055,7 +1055,7 @@ class BlipForConditionalGeneration(BlipPreTrainedModel):
 
         >>> outputs = model.generate(**inputs)
         >>> print(processor.decode(outputs[0], skip_special_tokens=True))
-        two cats are laying on a couch
+        two cats sleeping on a couch
         ```
         """
 

tests/models/blip/test_modeling_blip.py

@@ -1120,7 +1120,7 @@ class BlipModelIntegrationTest(unittest.TestCase):
         # Test output
         self.assertEqual(
             predictions[0].tolist(),
-            [30522, 1037, 3861, 1997, 1037, 2450, 3564, 2006, 1996, 3509, 2007, 2014, 3899, 102],
+            [30522, 1037, 3861, 1997, 1037, 2450, 1998, 2014, 3899, 2006, 1996, 3509, 102],
         )
 
     @require_torch_gpu
@@ -1148,7 +1148,7 @@ class BlipModelIntegrationTest(unittest.TestCase):
         # Test output
         self.assertEqual(
             predictions[0].tolist(),
-            [30522, 1037, 3861, 1997, 1037, 2450, 3564, 2006, 1996, 3509, 2007, 2014, 3899, 102],
+            [30522, 1037, 3861, 1997, 1037, 2450, 1998, 2014, 3899, 2006, 1996, 3509, 102],
         )
 
     def test_inference_vqa(self):
@@ -1176,7 +1176,7 @@ class BlipModelIntegrationTest(unittest.TestCase):
         out_itm = model(**inputs)
         out = model(**inputs, use_itm_head=False)
 
-        expected_scores = torch.Tensor([[0.9798, 0.0202]])
+        expected_scores = torch.Tensor([[0.0029, 0.9971]])
 
         self.assertTrue(torch.allclose(torch.nn.Softmax()(out_itm[0].cpu()), expected_scores, rtol=1e-3, atol=1e-3))
-        self.assertTrue(torch.allclose(out[0].cpu(), torch.Tensor([[0.5053]]), rtol=1e-3, atol=1e-3))
+        self.assertTrue(torch.allclose(out[0].cpu(), torch.Tensor([[0.5162]]), rtol=1e-3, atol=1e-3))