nityaak/qwen3-4b-stance-matrix-semeval-ezstance-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-ezstance-qlora
Source: Original Platform
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ModelHub XC
2026-09-06 22:49:16 +08:00
commit deb4471c7f
21 changed files with 1014 additions and 0 deletions
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10
carbontracker/3557751.368938_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 12:54:41 - Epoch 1:
2026-08-10 12:54:41 - Duration: 0:24:13.04
2026-08-10 12:54:41 - Average power usage (W) for gpu: 281.84832965517245
2026-08-10 12:54:41 - Carbon intensities (gCO2eq/kWh) fetched every 900 s at detected location: Breda, North Brabant, NL: [253.31]
2026-08-10 12:54:41 - Average carbon intensity during training was 253.31 gCO2eq/kWh.
2026-08-10 12:54:41 - Monitoring thread ended.

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carbontracker/3557751.368938_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 12:27:55,748 - MainThread - WARNING - No carbon intensity provider specified. Using average carbon intensity for NL: 253.31 gCO2eq/kWh.

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carbontracker/3557751.368938_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 12:54:41 - CarbonTracker:
Predicted consumption for 1 epoch(s):
Time: 0:24:13
Energy: 0.179741288079 kWh
CO2eq: 45.530538890080 g
This is equivalent to:
0.426315907210 km travelled by car
2026-08-10 12:54:41 - CarbonTracker: Average carbon intensity during training was 253.31 gCO2eq/kWh.
2026-08-10 12:54:41 - CarbonTracker:
Actual consumption for 1 epoch(s):
Time: 0:24:13
Energy: 0.179741288079 kWh
CO2eq: 45.530538890080 g
This is equivalent to:
0.426315907210 km travelled by car
2026-08-10 12:54:41 - CarbonTracker: Finished monitoring.

10
carbontracker/4141992.368938_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 14:40:07 - Epoch 1:
2026-08-03 14:40:07 - Duration: 0:10:13.73
2026-08-03 14:40:07 - Average power usage (W) for gpu: 270.8863572593801
2026-08-03 14:40:07 - Carbon intensities (gCO2eq/kWh) fetched every 900 s at detected location: Breda, North Brabant, NL: [253.31]
2026-08-03 14:40:07 - Average carbon intensity during training was 253.31 gCO2eq/kWh.
2026-08-03 14:40:07 - Monitoring thread ended.

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carbontracker/4141992.368938_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/4141992.368938_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 14:40:07 - CarbonTracker:
Predicted consumption for 1 epoch(s):
Time: 0:10:14
Energy: 0.072966240612 kWh
CO2eq: 18.483189318022 g
This is equivalent to:
0.173063570393 km travelled by car
2026-08-03 14:40:07 - CarbonTracker: Average carbon intensity during training was 253.31 gCO2eq/kWh.
2026-08-03 14:40:07 - CarbonTracker:
Actual consumption for 1 epoch(s):
Time: 0:10:14
Energy: 0.072966240612 kWh
CO2eq: 18.483189318022 g
This is equivalent to:
0.173063570393 km travelled by car
2026-08-03 14:40:07 - CarbonTracker: Finished monitoring.

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carbontracker/823641.368938_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 17:02:06 - Epoch 1:
2026-08-04 17:02:06 - Duration: 0:24:15.20
2026-08-04 17:02:06 - Average power usage (W) for gpu: 274.1503450413223
2026-08-04 17:02:06 - Carbon intensities (gCO2eq/kWh) fetched every 900 s at detected location: Breda, North Brabant, NL: [253.31]
2026-08-04 17:02:06 - Average carbon intensity during training was 253.31 gCO2eq/kWh.
2026-08-04 17:02:06 - Monitoring thread ended.

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carbontracker/823641.368938_2026-08-04T163517Z_carbontracker_err.log Normal file
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2026-08-04 16:35:17,079 - MainThread - WARNING - No API keys provided. Skipping intensity provider initialization.
2026-08-04 16:35:17,209 - MainThread - WARNING - No carbon intensity provider specified. Using average carbon intensity for NL: 253.31 gCO2eq/kWh.

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carbontracker/823641.368938_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 17:02:06 - CarbonTracker:
Predicted consumption for 1 epoch(s):
Time: 0:24:15
Energy: 0.175091899719 kWh
CO2eq: 44.352795257434 g
This is equivalent to:
0.415288345107 km travelled by car
2026-08-04 17:02:06 - CarbonTracker: Average carbon intensity during training was 253.31 gCO2eq/kWh.
2026-08-04 17:02:06 - CarbonTracker:
Actual consumption for 1 epoch(s):
Time: 0:24:15
Energy: 0.175091899719 kWh
CO2eq: 44.352795257434 g
This is equivalent to:
0.415288345107 km travelled by car
2026-08-04 17:02:06 - CarbonTracker: Finished monitoring.