Upload 2025-11-04/runs/5721-19074296051/ci_results_run_models_gpu/model_results_extra.json with huggingface_hub

2025-11-04/runs/5721-19074296051/ci_results_run_models_gpu/model_results_extra.json

@@ -0,0 +1,14 @@
+{
+    "models_smolvlm": {
+        "captured_info": {
+            "single": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/19074296051/job/54486016464#step:16:1",
+                "captured_info": "test:\n\ntests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMForConditionalGenerationIntegrationTest::test_integration_test_video\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/smolvlm/test_modeling_smolvlm.py:585\n\n        self.assertEqual(generated_texts[0], expected_generated_text)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/smolvlm/test_modeling_smolvlm.py:585\n\n        self.assertEqual(generated_texts[0], expected_generated_text)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `generated_texts[0]`\n\nargument value:\n\n'User: You are provided the following series of nine frames from a 0:00:09 [H:MM:SS] video.\\n\\nFrame from 00:00:\\nFrame from 00:01:\\nFrame from 00:02:\\nFrame from 00:03:\\nFrame from 00:04:\\nFrame from 00:05:\\nFrame from 00:06:\\nFrame from 00:08:\\nFrame from 00:09:\\n\\nDescribe this video in detail\\nAssistant: The video depicts a large language model architecture, specifically a language model with a \"quick brown\" feature'\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_generated_text`\n\nargument value:\n\n\"User: You are provided the following series of nine frames from a 0:00:09 [H:MM:SS] video.\\n\\nFrame from 00:00:\\nFrame from 00:01:\\nFrame from 00:02:\\nFrame from 00:03:\\nFrame from 00:04:\\nFrame from 00:05:\\nFrame from 00:06:\\nFrame from 00:08:\\nFrame from 00:09:\\n\\nDescribe this video in detail\\nAssistant: The video showcases a large language model, specifically a neural network model, which is designed to learn and\"\n\n========================================================================================================================\n\n"
+            },
+            "multi": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/19074296051/job/54486016545#step:16:1",
+                "captured_info": "test:\n\ntests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMForConditionalGenerationIntegrationTest::test_integration_test_video\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/smolvlm/test_modeling_smolvlm.py:585\n\n        self.assertEqual(generated_texts[0], expected_generated_text)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/smolvlm/test_modeling_smolvlm.py:585\n\n        self.assertEqual(generated_texts[0], expected_generated_text)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `generated_texts[0]`\n\nargument value:\n\n'User: You are provided the following series of nine frames from a 0:00:09 [H:MM:SS] video.\\n\\nFrame from 00:00:\\nFrame from 00:01:\\nFrame from 00:02:\\nFrame from 00:03:\\nFrame from 00:04:\\nFrame from 00:05:\\nFrame from 00:06:\\nFrame from 00:08:\\nFrame from 00:09:\\n\\nDescribe this video in detail\\nAssistant: The video depicts a large language model architecture, specifically a language model with a \"quick brown\" feature'\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_generated_text`\n\nargument value:\n\n\"User: You are provided the following series of nine frames from a 0:00:09 [H:MM:SS] video.\\n\\nFrame from 00:00:\\nFrame from 00:01:\\nFrame from 00:02:\\nFrame from 00:03:\\nFrame from 00:04:\\nFrame from 00:05:\\nFrame from 00:06:\\nFrame from 00:08:\\nFrame from 00:09:\\n\\nDescribe this video in detail\\nAssistant: The video showcases a large language model, specifically a neural network model, which is designed to learn and\"\n\n========================================================================================================================\n\n"
+            }
+        }
+    }
+}