Upload 2025-12-19/runs/25808-20377547759/ci_results_run_models_gpu/model_results_extra.json with huggingface_hub

2025-12-19/runs/25808-20377547759/ci_results_run_models_gpu/model_results_extra.json

@@ -0,0 +1,20 @@
+{
+    "deepspeed": {
+        "captured_info": {}
+    },
+    "fsdp": {
+        "captured_info": {}
+    },
+    "trainer": {
+        "captured_info": {
+            "multi": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/20377547759/job/58560387325#step:16:1",
+                "captured_info": "test:\n\ntests/trainer/test_trainer.py::TrainerIntegrationPrerunTest::test_gradient_accumulation_loss_alignment_with_model_loss\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/trainer/test_trainer.py:916\n\n        self.assertLess(max(diff_truth), 0.01, f\"Difference {max(diff_truth)} is not within 0.01\")\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/trainer/test_trainer.py:916\n\n        self.assertLess(max(diff_truth), 0.01, f\"Difference {max(diff_truth)} is not within 0.01\")\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertLess\n\n--------------------------------------------------------------------------------\n\nargument name: `a`\nargument expression: `max(diff_truth)`\n\nargument value:\n\n1537.7216300964355\n\n--------------------------------------------------------------------------------\n\nargument name: `b`\nargument expression: `0.01`\n\nargument value:\n\n0.01\n\n========================================================================================================================\n\ntest:\n\ntests/trainer/test_trainer.py::TrainerIntegrationTest::test_resume_from_interrupted_training\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/trainer/test_trainer.py:5052\n\n        self.assertEqual(trainer_resumed.state.global_step, 3)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/trainer/test_trainer.py:5052\n\n        self.assertEqual(trainer_resumed.state.global_step, 3)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `trainer_resumed.state.global_step`\n\nargument value:\n\n2\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `3`\n\nargument value:\n\n3\n\n========================================================================================================================\n\n"
+            },
+            "single": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/20377547759/job/58560387351#step:16:1",
+                "captured_info": "test:\n\ntests/trainer/test_trainer.py::TrainerIntegrationPrerunTest::test_gradient_accumulation_loss_alignment_with_model_loss\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/trainer/test_trainer.py:916\n\n        self.assertLess(max(diff_truth), 0.01, f\"Difference {max(diff_truth)} is not within 0.01\")\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/trainer/test_trainer.py:916\n\n        self.assertLess(max(diff_truth), 0.01, f\"Difference {max(diff_truth)} is not within 0.01\")\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertLess\n\n--------------------------------------------------------------------------------\n\nargument name: `a`\nargument expression: `max(diff_truth)`\n\nargument value:\n\n3620.7803049087524\n\n--------------------------------------------------------------------------------\n\nargument name: `b`\nargument expression: `0.01`\n\nargument value:\n\n0.01\n\n========================================================================================================================\n\n"
+            }
+        }
+    }
+}