sam-2-train.log

[{"stream_name":"stderr","time":5.862613304,"data":"0.00s - Debugger warning: It seems that frozen modules are being used, which may\n"}
,{"stream_name":"stderr","time":5.862683023,"data":"0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n"}
,{"stream_name":"stderr","time":5.86268979,"data":"0.00s - to python to disable frozen modules.\n"}
,{"stream_name":"stderr","time":5.862693812,"data":"0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n"}
,{"stream_name":"stderr","time":6.6015098309999996,"data":"0.00s - Debugger warning: It seems that frozen modules are being used, which may\n"}
,{"stream_name":"stderr","time":6.601543496,"data":"0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n"}
,{"stream_name":"stderr","time":6.601549828,"data":"0.00s - to python to disable frozen modules.\n"}
,{"stream_name":"stderr","time":6.601554166,"data":"0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n"}
,{"stream_name":"stdout","time":11.518076271,"data":"\u001b[?25l   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/193.6 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m193.6/193.6 kB\u001b[0m \u001b[31m7.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n"}
,{"stream_name":"stdout","time":13.343242243,"data":"\u001b[?25h\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\r\n"}
,{"stream_name":"stdout","time":13.343292564,"data":"bigframes 2.8.0 requires google-cloud-bigquery-storage\u003c3.0.0,\u003e=2.30.0, which is not installed.\r\n"}
,{"stream_name":"stdout","time":13.343302638,"data":"cesium 0.12.4 requires numpy\u003c3.0,\u003e=2.0, but you have numpy 1.26.4 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.343308835,"data":"torch 2.6.0+cu124 requires nvidia-cublas-cu12==12.4.5.8; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cublas-cu12 12.5.3.2 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.343315661,"data":"torch 2.6.0+cu124 requires nvidia-cuda-cupti-cu12==12.4.127; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cuda-cupti-cu12 12.5.82 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.343322078,"data":"torch 2.6.0+cu124 requires nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cuda-nvrtc-cu12 12.5.82 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.343327969,"data":"torch 2.6.0+cu124 requires nvidia-cuda-runtime-cu12==12.4.127; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cuda-runtime-cu12 12.5.82 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.343334296,"data":"torch 2.6.0+cu124 requires nvidia-cudnn-cu12==9.1.0.70; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cudnn-cu12 9.3.0.75 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.343339457999999,"data":"torch 2.6.0+cu124 requires nvidia-cufft-cu12==11.2.1.3; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cufft-cu12 11.2.3.61 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.343344964,"data":"torch 2.6.0+cu124 requires nvidia-curand-cu12==10.3.5.147; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-curand-cu12 10.3.6.82 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.343369115,"data":"torch 2.6.0+cu124 requires nvidia-cusolver-cu12==11.6.1.9; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cusolver-cu12 11.6.3.83 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.343375283,"data":"torch 2.6.0+cu124 requires nvidia-cusparse-cu12==12.3.1.170; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cusparse-cu12 12.5.1.3 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.343379203,"data":"torch 2.6.0+cu124 requires nvidia-nvjitlink-cu12==12.4.127; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-nvjitlink-cu12 12.5.82 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.343383231,"data":"gcsfs 2025.3.2 requires fsspec==2025.3.2, but you have fsspec 2025.3.0 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.343386966,"data":"bigframes 2.8.0 requires google-cloud-bigquery[bqstorage,pandas]\u003e=3.31.0, but you have google-cloud-bigquery 3.25.0 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.343390954,"data":"bigframes 2.8.0 requires rich\u003c14,\u003e=12.4.4, but you have rich 14.0.0 which is incompatible.\u001b[0m\u001b[31m\r\n"}
,{"stream_name":"stdout","time":84.390465953,"data":"\u001b[0mEpoch 1/35 | Step 20/1055 | Loss: 47.0901 | ETA: 195.9s\n"}
,{"stream_name":"stdout","time":87.744404247,"data":"Epoch 1/35 | Step 40/1055 | Loss: 36.5897 | ETA: 182.8s\n"}
,{"stream_name":"stdout","time":91.168461554,"data":"Epoch 1/35 | Step 60/1055 | Loss: 33.2319 | ETA: 175.7s\n"}
,{"stream_name":"stdout","time":94.485241499,"data":"Epoch 1/35 | Step 80/1055 | Loss: 28.3603 | ETA: 169.7s\n"}
,{"stream_name":"stdout","time":97.872524175,"data":"Epoch 1/35 | Step 100/1055 | Loss: 25.4061 | ETA: 165.2s\n"}
,{"stream_name":"stdout","time":101.08119488,"data":"Epoch 1/35 | Step 120/1055 | Loss: 22.6052 | ETA: 159.9s\n"}
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,{"stream_name":"stdout","time":235.276636684,"data":"Epoch 1/35 | Step 920/1055 | Loss: 6.0212 | ETA: 22.7s\n"}
,{"stream_name":"stdout","time":238.760175441,"data":"Epoch 1/35 | Step 940/1055 | Loss: 5.7457 | ETA: 19.3s\n"}
,{"stream_name":"stdout","time":242.124860952,"data":"Epoch 1/35 | Step 960/1055 | Loss: 5.5021 | ETA: 16.0s\n"}
,{"stream_name":"stdout","time":245.328322094,"data":"Epoch 1/35 | Step 980/1055 | Loss: 5.6693 | ETA: 12.6s\n"}
,{"stream_name":"stdout","time":248.731440781,"data":"Epoch 1/35 | Step 1000/1055 | Loss: 5.4952 | ETA: 9.2s\n"}
,{"stream_name":"stdout","time":252.06570545,"data":"Epoch 1/35 | Step 1020/1055 | Loss: 5.8518 | ETA: 5.9s\n"}
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,{"stream_name":"stdout","time":258.327639989,"data":"✅ Model saved to /kaggle/working/sam2_output/sam2-epoch1.safetensors\n"}
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,{"stream_name":"stdout","time":6189.746561465,"data":"Epoch 35/35 | Step 560/1055 | Loss: 1.1506 | ETA: 82.0s\n"}
,{"stream_name":"stdout","time":6193.158790075,"data":"Epoch 35/35 | Step 580/1055 | Loss: 1.2011 | ETA: 78.8s\n"}
,{"stream_name":"stdout","time":6196.417059296,"data":"Epoch 35/35 | Step 600/1055 | Loss: 1.3228 | ETA: 75.4s\n"}
,{"stream_name":"stdout","time":6199.628549139,"data":"Epoch 35/35 | Step 620/1055 | Loss: 1.0837 | ETA: 72.0s\n"}
,{"stream_name":"stdout","time":6203.025431834,"data":"Epoch 35/35 | Step 640/1055 | Loss: 1.0362 | ETA: 68.8s\n"}
,{"stream_name":"stdout","time":6206.3075372,"data":"Epoch 35/35 | Step 660/1055 | Loss: 1.0849 | ETA: 65.5s\n"}
,{"stream_name":"stdout","time":6209.839700911,"data":"Epoch 35/35 | Step 680/1055 | Loss: 1.2780 | ETA: 62.2s\n"}
,{"stream_name":"stdout","time":6213.29459157,"data":"Epoch 35/35 | Step 700/1055 | Loss: 1.2482 | ETA: 59.0s\n"}
,{"stream_name":"stdout","time":6216.768452044,"data":"Epoch 35/35 | Step 720/1055 | Loss: 1.1990 | ETA: 55.7s\n"}
,{"stream_name":"stdout","time":6219.827718818,"data":"Epoch 35/35 | Step 740/1055 | Loss: 1.1409 | ETA: 52.3s\n"}
,{"stream_name":"stdout","time":6223.146522508,"data":"Epoch 35/35 | Step 760/1055 | Loss: 1.1414 | ETA: 49.0s\n"}
,{"stream_name":"stdout","time":6226.532486809,"data":"Epoch 35/35 | Step 780/1055 | Loss: 1.2367 | ETA: 45.7s\n"}
,{"stream_name":"stdout","time":6229.846209892,"data":"Epoch 35/35 | Step 800/1055 | Loss: 1.0909 | ETA: 42.3s\n"}
,{"stream_name":"stdout","time":6233.307895848,"data":"Epoch 35/35 | Step 820/1055 | Loss: 1.1280 | ETA: 39.1s\n"}
,{"stream_name":"stdout","time":6236.676866007,"data":"Epoch 35/35 | Step 840/1055 | Loss: 1.2768 | ETA: 35.8s\n"}
,{"stream_name":"stdout","time":6240.169964841,"data":"Epoch 35/35 | Step 860/1055 | Loss: 1.2127 | ETA: 32.5s\n"}
,{"stream_name":"stdout","time":6243.407175509,"data":"Epoch 35/35 | Step 880/1055 | Loss: 0.9639 | ETA: 29.1s\n"}
,{"stream_name":"stdout","time":6246.928874172,"data":"Epoch 35/35 | Step 900/1055 | Loss: 1.1747 | ETA: 25.8s\n"}
,{"stream_name":"stdout","time":6250.209371755,"data":"Epoch 35/35 | Step 920/1055 | Loss: 1.1099 | ETA: 22.5s\n"}
,{"stream_name":"stdout","time":6253.694937697,"data":"Epoch 35/35 | Step 940/1055 | Loss: 1.1846 | ETA: 19.2s\n"}
,{"stream_name":"stdout","time":6257.147057003,"data":"Epoch 35/35 | Step 960/1055 | Loss: 1.3049 | ETA: 15.8s\n"}
,{"stream_name":"stdout","time":6260.293488918,"data":"Epoch 35/35 | Step 980/1055 | Loss: 1.2696 | ETA: 12.5s\n"}
,{"stream_name":"stdout","time":6263.626447947,"data":"Epoch 35/35 | Step 1000/1055 | Loss: 1.2603 | ETA: 9.2s\n"}
,{"stream_name":"stdout","time":6266.700585462,"data":"Epoch 35/35 | Step 1020/1055 | Loss: 0.9824 | ETA: 5.8s\n"}
,{"stream_name":"stdout","time":6269.985738344,"data":"Epoch 35/35 | Step 1040/1055 | Loss: 1.3835 | ETA: 2.5s\n"}
,{"stream_name":"stdout","time":6272.521765526,"data":"Epoch 35/35 | Step 1055/1055 | Loss: 1.1403 | ETA: 0.0s\n"}
,{"stream_name":"stdout","time":6272.889831299,"data":"✅ Model saved to /kaggle/working/sam2_output/sam2-epoch35.safetensors\n"}
,{"stream_name":"stdout","time":6273.719664912,"data":"{'dialogue_id': Value(dtype='string', id=None), 'services': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'turns': Sequence(feature={'turn_id': Value(dtype='string', id=None), 'speaker': ClassLabel(names=['USER', 'SYSTEM'], id=None), 'utterance': Value(dtype='string', id=None), 'frames': Sequence(feature={'service': Value(dtype='string', id=None), 'state': {'active_intent': Value(dtype='string', id=None), 'requested_slots': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'slots_values': Sequence(feature={'slots_values_name': Value(dtype='string', id=None), 'slots_values_list': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)}, length=-1, id=None)}, 'slots': Sequence(feature={'slot': Value(dtype='string', id=None), 'value': Value(dtype='string', id=None), 'start': Value(dtype='int32', id=None), 'exclusive_end': Value(dtype='int32', id=None), 'copy_from': Value(dtype='string', id=None), 'copy_from_value': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)}, length=-1, id=None)}, length=-1, id=None), 'dialogue_acts': {'dialog_act': Sequence(feature={'act_type': Value(dtype='string', id=None), 'act_slots': Sequence(feature={'slot_name': Value(dtype='string', id=None), 'slot_value': Value(dtype='string', id=None)}, length=-1, id=None)}, length=-1, id=None), 'span_info': Sequence(feature={'act_type': Value(dtype='string', id=None), 'act_slot_name': Value(dtype='string', id=None), 'act_slot_value': Value(dtype='string', id=None), 'span_start': Value(dtype='int32', id=None), 'span_end': Value(dtype='int32', id=None)}, length=-1, id=None)}}, length=-1, id=None)}\n"}
,{"stream_name":"stdout","time":6273.719725069,"data":"{'dialogue_id': 'PMUL4398.json', 'services': ['restaurant', 'hotel'], 'turns': {'turn_id': ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11'], 'speaker': [0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1], 'utterance': ['i need a place to dine in the center thats expensive', 'I have several options for you; do you prefer African, Asian, or British food?', 'Any sort of food would be fine, as long as it is a bit expensive. Could I get the phone number for your recommendation?', 'There is an Afrian place named Bedouin in the centre. How does that sound?', 'Sounds good, could I get that phone number? Also, could you recommend me an expensive hotel?', \"Bedouin's phone is 01223367660. As far as hotels go, I recommend the University Arms Hotel in the center of town.\", 'Yes. Can you book it for me?', 'Sure, when would you like that reservation?', 'i want to book it for 2 people and 2 nights starting from saturday.', 'Your booking was successful. Your reference number is FRGZWQL2 . May I help you further?', 'That is all I need to know. Thanks, good bye.', 'Thank you so much for Cambridge TownInfo centre. Have a great day!'], 'frames': [{'service': ['restaurant', 'hotel'], 'state': [{'active_intent': 'find_restaurant', 'requested_slots': [], 'slots_values': {'slots_values_name': ['restaurant-area', 'restaurant-pricerange'], 'slots_values_list': [['centre'], ['expensive']]}}, {'active_intent': 'find_hotel', 'requested_slots': [], 'slots_values': {'slots_values_name': [], 'slots_values_list': []}}], 'slots': [{'slot': [], 'value': [], 'start': [], 'exclusive_end': [], 'copy_from': [], 'copy_from_value': []}, {'slot': [], 'value': [], 'start': [], 'exclusive_end': [], 'copy_from': [], 'copy_from_value': []}]}, {'service': [], 'state': [], 'slots': []}, {'service': ['restaurant', 'hotel'], 'state': [{'active_intent': 'find_restaurant', 'requested_slots': ['restaurant-food'], 'slots_values': {'slots_values_name': ['restaurant-area', 'restaurant-pricerange'], 'slots_values_list': [['centre'], ['expensive']]}}, {'active_intent': 'find_hotel', 'requested_slots': [], 'slots_values': {'slots_values_name': [], 'slots_values_list': []}}], 'slots': [{'slot': [], 'value': [], 'start': [], 'exclusive_end': [], 'copy_from': [], 'copy_from_value': []}, {'slot': [], 'value': [], 'start': [], 'exclusive_end': [], 'copy_from': [], 'copy_from_value': []}]}, {'service': [], 'state': [], 'slots': []}, {'service': ['restaurant', 'hotel'], 'state': [{'active_intent': 'find_restaurant', 'requested_slots': ['restaurant-phone'], 'slots_values': {'slots_values_name': ['restaurant-area', 'restaurant-name', 'restaurant-pricerange'], 'slots_values_list': [['centre'], ['bedouin'], ['expensive']]}}, {'active_intent': 'find_hotel', 'requested_slots': [], 'slots_values': {'slots_values_name': ['hotel-pricerange', 'hotel-type'], 'slots_values_list': [['expensive'], ['hotel']]}}], 'slots': [{'slot': [], 'value': [], 'start': [], 'exclusive_end': [], 'copy_from': [], 'copy_from_value': []}, {'slot': [], 'value': [], 'start': [], 'exclusive_end': [], 'copy_from': [], 'copy_from_value': []}]}, {'service': [], 'state': [], 'slots': []}, {'service': ['hotel'], 'state': [{'active_intent': 'find_hotel', 'requested_slots': [], 'slots_values': {'slots_values_name': ['hotel-name', 'hotel-pricerange', 'hotel-type'], 'slots_values_list': [['university arms hotel'], ['expensive'], ['hotel']]}}], 'slots': [{'slot': [], 'value': [], 'start': [], 'exclusive_end': [], 'copy_from': [], 'copy_from_value': []}]}, {'service': [], 'state': [], 'slots': []}, {'service': ['hotel'], 'state': [{'active_intent': 'book_hotel', 'requested_slots': [], 'slots_values': {'slots_values_name': ['hotel-bookday', 'hotel-bookpeople', 'hotel-bookstay', 'hotel-name', 'hotel-pricerange', 'hotel-type'], 'slots_values_list': [['saturday'], ['2'], ['2'], ['university arms hotel'], ['expensive'], ['hotel']]}}], 'slots': [{'slot': [], 'value': [], 'start': [], 'exclusive_end': [], 'copy_from': [], 'copy_from_value': []}]}, {'service': [], 'state': [], 'slots': []}, {'service': [], 'state': [], 'slots': []}, {'service': [], 'state': [], 'slots': []}], 'dialogue_acts': [{'dialog_act': {'act_type': ['Restaurant-Inform'], 'act_slots': [{'slot_name': ['area', 'pricerange'], 'slot_value': ['centre', 'expensive']}]}, 'span_info': {'act_type': ['Restaurant-Inform', 'Restaurant-Inform'], 'act_slot_name': ['area', 'pricerange'], 'act_slot_value': ['centre', 'expensive'], 'span_start': [30, 43], 'span_end': [36, 52]}}, {'dialog_act': {'act_type': ['Restaurant-Inform', 'Restaurant-Select'], 'act_slots': [{'slot_name': ['choice'], 'slot_value': ['several']}, {'slot_name': ['food', 'food', 'food'], 'slot_value': ['African', 'Asian', 'British']}]}, 'span_info': {'act_type': ['Restaurant-Inform', 'Restaurant-Select', 'Restaurant-Select', 'Restaurant-Select'], 'act_slot_name': ['choice', 'food', 'food', 'food'], 'act_slot_value': ['several', 'African', 'Asian', 'British'], 'span_start': [7, 46, 55, 65], 'span_end': [14, 53, 60, 72]}}, {'dialog_act': {'act_type': ['Restaurant-Request'], 'act_slots': [{'slot_name': ['food'], 'slot_value': ['?']}]}, 'span_info': {'act_type': [], 'act_slot_name': [], 'act_slot_value': [], 'span_start': [], 'span_end': []}}, {'dialog_act': {'act_type': ['Restaurant-Inform'], 'act_slots': [{'slot_name': ['area', 'food', 'name'], 'slot_value': ['centre', 'Afrian', 'Bedouin']}]}, 'span_info': {'act_type': ['Restaurant-Inform', 'Restaurant-Inform', 'Restaurant-Inform'], 'act_slot_name': ['food', 'name', 'area'], 'act_slot_value': ['Afrian', 'Bedouin', 'centre'], 'span_start': [12, 31, 46], 'span_end': [18, 38, 52]}}, {'dialog_act': {'act_type': ['Hotel-Inform', 'Restaurant-Request'], 'act_slots': [{'slot_name': ['pricerange', 'type'], 'slot_value': ['expensive', 'hotel']}, {'slot_name': ['phone'], 'slot_value': ['?']}]}, 'span_info': {'act_type': ['Hotel-Inform', 'Hotel-Inform'], 'act_slot_name': ['pricerange', 'type'], 'act_slot_value': ['expensive', 'hotel'], 'span_start': [76, 86], 'span_end': [85, 91]}}, {'dialog_act': {'act_type': ['Hotel-Recommend', 'Restaurant-Inform'], 'act_slots': [{'slot_name': ['area', 'name'], 'slot_value': ['center of town', 'the University Arms Hotel']}, {'slot_name': ['name', 'phone'], 'slot_value': ['Bedouin', '01223367660']}]}, 'span_info': {'act_type': ['Restaurant-Inform', 'Restaurant-Inform', 'Hotel-Recommend', 'Hotel-Recommend'], 'act_slot_name': ['name', 'phone', 'name', 'area'], 'act_slot_value': ['Bedouin', '01223367660', 'the University Arms Hotel', 'center of town'], 'span_start': [0, 19, 65, 98], 'span_end': [7, 30, 90, 112]}}, {'dialog_act': {'act_type': ['Hotel-Inform'], 'act_slots': [{'slot_name': ['none'], 'slot_value': ['none']}]}, 'span_info': {'act_type': [], 'act_slot_name': [], 'act_slot_value': [], 'span_start': [], 'span_end': []}}, {'dialog_act': {'act_type': ['Booking-Request'], 'act_slots': [{'slot_name': ['bookday'], 'slot_value': ['?']}]}, 'span_info': {'act_type': [], 'act_slot_name': [], 'act_slot_value': [], 'span_start': [], 'span_end': []}}, {'dialog_act': {'act_type': ['Hotel-Inform'], 'act_slots': [{'slot_name': ['bookday', 'bookpeople', 'bookstay'], 'slot_value': ['saturday', '2', '2']}]}, 'span_info': {'act_type': ['Hotel-Inform', 'Hotel-Inform', 'Hotel-Inform'], 'act_slot_name': ['bookstay', 'bookpeople', 'bookday'], 'act_slot_value': ['2', '2', 'saturday'], 'span_start': [22, 35, 58], 'span_end': [23, 36, 66]}}, {'dialog_act': {'act_type': ['Booking-Book', 'general-reqmore'], 'act_slots': [{'slot_name': ['ref'], 'slot_value': ['FRGZWQL2']}, {'slot_name': ['none'], 'slot_value': ['none']}]}, 'span_info': {'act_type': ['Booking-Book'], 'act_slot_name': ['ref'], 'act_slot_value': ['FRGZWQL2'], 'span_start': [54], 'span_end': [62]}}, {'dialog_act': {'act_type': ['general-bye'], 'act_slots': [{'slot_name': ['none'], 'slot_value': ['none']}]}, 'span_info': {'act_type': [], 'act_slot_name': [], 'act_slot_value': [], 'span_start': [], 'span_end': []}}, {'dialog_act': {'act_type': ['general-bye', 'general-welcome'], 'act_slots': [{'slot_name': ['none'], 'slot_value': ['none']}, {'slot_name': ['none'], 'slot_value': ['none']}]}, 'span_info': {'act_type': [], 'act_slot_name': [], 'act_slot_value': [], 'span_start': [], 'span_end': []}}]}}\n"}
,{"stream_name":"stderr","time":6277.395385266,"data":"/usr/local/lib/python3.11/dist-packages/traitlets/traitlets.py:2915: FutureWarning: --Exporter.preprocessors=[\"remove_papermill_header.RemovePapermillHeader\"] for containers is deprecated in traitlets 5.0. You can pass `--Exporter.preprocessors item` ... multiple times to add items to a list.\n"}
,{"stream_name":"stderr","time":6277.395443557,"data":"  warn(\n"}
,{"stream_name":"stderr","time":6277.427485942,"data":"[NbConvertApp] Converting notebook __notebook__.ipynb to notebook\n"}
,{"stream_name":"stderr","time":6277.940487969,"data":"[NbConvertApp] Writing 294778 bytes to __notebook__.ipynb\n"}
,{"stream_name":"stderr","time":6279.167688322,"data":"/usr/local/lib/python3.11/dist-packages/traitlets/traitlets.py:2915: FutureWarning: --Exporter.preprocessors=[\"nbconvert.preprocessors.ExtractOutputPreprocessor\"] for containers is deprecated in traitlets 5.0. You can pass `--Exporter.preprocessors item` ... multiple times to add items to a list.\n"}
,{"stream_name":"stderr","time":6279.167721685,"data":"  warn(\n"}
,{"stream_name":"stderr","time":6279.190814377,"data":"[NbConvertApp] Converting notebook __notebook__.ipynb to html\n"}
,{"stream_name":"stderr","time":6279.936364055,"data":"[NbConvertApp] Writing 569212 bytes to __results__.html\n"}
]