nityaak/qwen3-4b-stance-matrix-semeval-mtcsd-qlora
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初始化项目，由ModelHub XC社区提供模型

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Model: nityaak/qwen3-4b-stance-matrix-semeval-mtcsd-qlora
Source: Original Platform
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ModelHub XC
2026-08-24 19:29:18 +08:00
commit 7815315ddc
21 changed files with 1014 additions and 0 deletions
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10
carbontracker/3557673.368938_2026-08-10T122755Z_carbontracker.log Normal file
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2026-08-10 12:27:55 - carbontracker version 2.4.5
2026-08-10 12:27:55 - Only predicted and actual consumptions are multiplied by a PUE coefficient of 1.58 (Daniel Bizo, 2023, Uptime Institute Global Data Center Survey).
2026-08-10 12:27:55 - The following components were found: GPU with device(s) NVIDIA A100-SXM4-40GB.
2026-08-10 12:27:55 - Monitoring thread started.
2026-08-10 12:53:27 - Epoch 1:
2026-08-10 12:53:27 - Duration: 0:22:58.50
2026-08-10 12:53:27 - Average power usage (W) for gpu: 288.0383183139535
2026-08-10 12:53:27 - Carbon intensities (gCO2eq/kWh) fetched every 900 s at detected location: Breda, North Brabant, NL: [253.31]
2026-08-10 12:53:27 - Average carbon intensity during training was 253.31 gCO2eq/kWh.
2026-08-10 12:53:27 - Monitoring thread ended.

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carbontracker/3557673.368938_2026-08-10T122755Z_carbontracker_err.log Normal file
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2026-08-10 12:27:55,614 - MainThread - WARNING - No API keys provided. Skipping intensity provider initialization.
2026-08-10 12:27:55,742 - MainThread - WARNING - No carbon intensity provider specified. Using average carbon intensity for NL: 253.31 gCO2eq/kWh.

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carbontracker/3557673.368938_2026-08-10T122755Z_carbontracker_output.log Normal file
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2026-08-10 12:27:55 - CarbonTracker: The following components were found: GPU with device(s) NVIDIA A100-SXM4-40GB.
2026-08-10 12:53:27 - CarbonTracker:
Predicted consumption for 1 epoch(s):
Time: 0:22:59
Energy: 0.174265869803 kWh
CO2eq: 44.143552363931 g
This is equivalent to:
0.413329141984 km travelled by car
2026-08-10 12:53:27 - CarbonTracker: Average carbon intensity during training was 253.31 gCO2eq/kWh.
2026-08-10 12:53:27 - CarbonTracker:
Actual consumption for 1 epoch(s):
Time: 0:22:59
Energy: 0.174265869803 kWh
CO2eq: 44.143552363931 g
This is equivalent to:
0.413329141984 km travelled by car
2026-08-10 12:53:27 - CarbonTracker: Finished monitoring.

10
carbontracker/4141991.368938_2026-08-03T142720Z_carbontracker.log Normal file
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2026-08-03 14:27:20 - carbontracker version 2.4.5
2026-08-03 14:27:20 - Only predicted and actual consumptions are multiplied by a PUE coefficient of 1.58 (Daniel Bizo, 2023, Uptime Institute Global Data Center Survey).
2026-08-03 14:27:20 - The following components were found: GPU with device(s) NVIDIA A100-SXM4-40GB.
2026-08-03 14:27:20 - Monitoring thread started.
2026-08-03 14:39:44 - Epoch 1:
2026-08-03 14:39:44 - Duration: 0:09:46.92
2026-08-03 14:39:44 - Average power usage (W) for gpu: 271.9617593856656
2026-08-03 14:39:44 - Carbon intensities (gCO2eq/kWh) fetched every 900 s at detected location: Breda, North Brabant, NL: [253.31]
2026-08-03 14:39:44 - Average carbon intensity during training was 253.31 gCO2eq/kWh.
2026-08-03 14:39:44 - Monitoring thread ended.

2
carbontracker/4141991.368938_2026-08-03T142720Z_carbontracker_err.log Normal file
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2026-08-03 14:27:20,152 - MainThread - WARNING - No API keys provided. Skipping intensity provider initialization.
2026-08-03 14:27:20,278 - MainThread - WARNING - No carbon intensity provider specified. Using average carbon intensity for NL: 253.31 gCO2eq/kWh.

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carbontracker/4141991.368938_2026-08-03T142720Z_carbontracker_output.log Normal file
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2026-08-03 14:27:20 - CarbonTracker: The following components were found: GPU with device(s) NVIDIA A100-SXM4-40GB.
2026-08-03 14:39:44 - CarbonTracker:
Predicted consumption for 1 epoch(s):
Time: 0:09:47
Energy: 0.070055109704 kWh
CO2eq: 17.745766323001 g
This is equivalent to:
0.166158860702 km travelled by car
2026-08-03 14:39:44 - CarbonTracker: Average carbon intensity during training was 253.31 gCO2eq/kWh.
2026-08-03 14:39:44 - CarbonTracker:
Actual consumption for 1 epoch(s):
Time: 0:09:47
Energy: 0.070055109704 kWh
CO2eq: 17.745766323001 g
This is equivalent to:
0.166158860702 km travelled by car
2026-08-03 14:39:44 - CarbonTracker: Finished monitoring.

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carbontracker/823514.368938_2026-08-04T163517Z_carbontracker.log Normal file
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2026-08-04 16:35:17 - carbontracker version 2.4.5
2026-08-04 16:35:17 - Only predicted and actual consumptions are multiplied by a PUE coefficient of 1.58 (Daniel Bizo, 2023, Uptime Institute Global Data Center Survey).
2026-08-04 16:35:17 - The following components were found: GPU with device(s) NVIDIA A100-SXM4-40GB.
2026-08-04 16:35:17 - Monitoring thread started.
2026-08-04 17:00:53 - Epoch 1:
2026-08-04 17:00:53 - Duration: 0:23:02.05
2026-08-04 17:00:53 - Average power usage (W) for gpu: 291.8201261783902
2026-08-04 17:00:53 - Carbon intensities (gCO2eq/kWh) fetched every 900 s at detected location: Breda, North Brabant, NL: [253.31]
2026-08-04 17:00:53 - Average carbon intensity during training was 253.31 gCO2eq/kWh.
2026-08-04 17:00:53 - Monitoring thread ended.

2
carbontracker/823514.368938_2026-08-04T163517Z_carbontracker_err.log Normal file
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2026-08-04 16:35:17,066 - MainThread - WARNING - No API keys provided. Skipping intensity provider initialization.
2026-08-04 16:35:17,210 - MainThread - WARNING - No carbon intensity provider specified. Using average carbon intensity for NL: 253.31 gCO2eq/kWh.

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carbontracker/823514.368938_2026-08-04T163517Z_carbontracker_output.log Normal file
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2026-08-04 16:35:17 - CarbonTracker: The following components were found: GPU with device(s) NVIDIA A100-SXM4-40GB.
2026-08-04 17:00:53 - CarbonTracker:
Predicted consumption for 1 epoch(s):
Time: 0:23:02
Energy: 0.177007651249 kWh
CO2eq: 44.838077189595 g
This is equivalent to:
0.419832183423 km travelled by car
2026-08-04 17:00:53 - CarbonTracker: Average carbon intensity during training was 253.31 gCO2eq/kWh.
2026-08-04 17:00:53 - CarbonTracker:
Actual consumption for 1 epoch(s):
Time: 0:23:02
Energy: 0.177007651249 kWh
CO2eq: 44.838077189595 g
This is equivalent to:
0.419832183423 km travelled by car
2026-08-04 17:00:53 - CarbonTracker: Finished monitoring.