diff --git a/src/turnkeyml/build/export.py b/src/turnkeyml/build/export.py
index 945af010..092695cf 100644
--- a/src/turnkeyml/build/export.py
+++ b/src/turnkeyml/build/export.py
@@ -280,18 +280,24 @@ def fire(self, state: build.State):
         default_warnings = warnings.showwarning
         warnings.showwarning = _warn_to_stdout
 
-        stats = fs.Stats(
-            state.cache_dir, state.config.build_name, state.evaluation_id
-        )
+        stats = fs.Stats(state.cache_dir, state.config.build_name, state.evaluation_id)
 
         # Verify if the exported model matches the input torch model
         try:
+            # Tolerance levels for the torch export are recommended by Pytorch here:
+            # https://pytorch.org/docs/stable/testing.html#module-torch.testing
+            fp32_tolerance = torch.onnx.verification.VerificationOptions(
+                rtol=1.3e-6, atol=1e-5
+            )
+
             # The `torch.onnx.verification.find_mismatch()` takes input arguments to the
             # model as `input_args (Tuple[Any, ...])`
             export_verification = torch.onnx.verification.find_mismatch(
                 state.model,
                 tuple(state.inputs.values()),
-                opset_version=state.config.onnx_opset)
+                opset_version=state.config.onnx_opset,
+                options=fp32_tolerance,
+            )
 
             # `export_verification.has_mismatch()` returns True if a mismatch is found and
             # False otherwise. If no mismatch is found,# `is_export_valid` is set to "Valid",
@@ -311,8 +317,8 @@ def fire(self, state: build.State):
             is_export_valid = "unverified"
 
         stats.save_model_eval_stat(
-                fs.Keys.TORCH_ONNX_EXPORT_VALIDITY,
-                is_export_valid,
+            fs.Keys.TORCH_ONNX_EXPORT_VALIDITY,
+            is_export_valid,
         )
 
         # Export the model to ONNX