Repository: huggingface/transformers
Pull request: Causal loss for `ForConditionalGeneration`

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Changed files:
filename: src/transformers/image_utils.py
patch: @@ -123,7 +123,7 @@ def get_image_type(image):
         return ImageType.TENSORFLOW
     if is_jax_tensor(image):
         return ImageType.JAX
-    raise ValueError(f"Unrecognised image type {type(image)}")
+    raise ValueError(f"Unrecognized image type {type(image)}")
 
 
 def is_valid_image(img):

filename: src/transformers/loss/loss_utils.py
patch: @@ -154,6 +154,7 @@ def ForTokenClassification(logits: torch.Tensor, labels, config, **kwargs):
     "ForTokenClassification": ForTokenClassification,
     "ForSegmentation": ForSegmentationLoss,
     "ForObjectDetection": ForObjectDetectionLoss,
+    "ForConditionalGeneration": ForCausalLMLoss,
     "DeformableDetrForObjectDetection": DeformableDetrForObjectDetectionLoss,
     "ConditionalDetrForObjectDetection": DeformableDetrForObjectDetectionLoss,
     "DabDetrForObjectDetection": DeformableDetrForObjectDetectionLoss,

filename: src/transformers/modeling_utils.py
patch: @@ -5875,7 +5875,7 @@ def loss_function(self):
 
         if loss_type is None or loss_type not in LOSS_MAPPING:
             logger.warning_once(
-                f"`loss_type={loss_type}` was set in the config but it is unrecognised."
+                f"`loss_type={loss_type}` was set in the config but it is unrecognized. "
                 f"Using the default loss: `ForCausalLMLoss`."
             )
             loss_type = "ForCausalLM"