Upload 3 files
#39
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leokeba - opened
data/report_terra_cognita_vision_training_onPrem_1761070539.json
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{
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"header": {
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"licensing": "Creative Commons 4.0",
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"formatVersion": "1.1.0",
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"formatVersionSpecificationUri": "https://raw.githubusercontent.com/Boavizta/BoAmps/main/model/report_schema.json",
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"reportId": "vision-training-1761070539",
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"reportDatetime": "2025-10-21 19:31:42",
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"name": "Terra Cognita",
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"division": "Research",
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"projectName": "SEEDS Lab",
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"confidentialityLevel": "public"
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}
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},
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"task": {
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"taskStage": "finetuning",
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"taskFamily": "multiModalTextGeneration",
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"algorithms": [
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"trainingType": "transferLearning",
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"algorithmType": "vlm",
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"algorithmName": "transformer",
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"foundationModelName": "Qwen/Qwen2.5-VL-3B-Instruct",
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"foundationModelUri": "https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct",
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"quantization": "int4"
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}
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"dataset": [
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"dataUsage": "input",
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"dataType": "image",
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"source": "public",
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"sourceUri": "https://huggingface.co/datasets/Barth371/cmr-all",
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"fileType": "json",
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"owner": "Barth371",
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"subset": ["train", "validation"]
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}
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],
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"taskDescription": "Vision-language model fine-tuning using Qwen/Qwen2.5-VL-3B-Instruct with LoRA (r=16, alpha=16) on dataset: Barth371/cmr-all"
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},
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"measures": [
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"measurementMethod": "codecarbon",
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"averageUtilizationGpu": 0.9142
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}
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],
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"infrastructure": {
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"infraType": "onPremise",
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"components": [
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"share": 1,
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"componentName": "1 x RTX 3090 Ti",
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"series": "RTX 3090 Ti",
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"series": "Core i9-10850K CPU @ 3.60GHz",
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"family": "Core i9-10850K"
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"system": {
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"os": "Linux",
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"distributionVersion": "6.1.0-37-amd64",
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"distribution": "Debian GNU/Linux 12 (bookworm)"
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"powerSupplierType": "public",
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"quality": "high"
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}
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data/report_terra_cognita_vision_training_onPrem_1761128618.json
ADDED
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@@ -0,0 +1,110 @@
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| 1 |
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{
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"header": {
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| 3 |
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"licensing": "Creative Commons 4.0",
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| 4 |
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"formatVersion": "1.1.0",
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| 5 |
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"formatVersionSpecificationUri": "https://raw.githubusercontent.com/Boavizta/BoAmps/main/model/report_schema.json",
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| 6 |
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"reportId": "vision-training-1761128618",
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| 7 |
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"reportDatetime": "2025-10-22 12:47:11",
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| 8 |
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"reportStatus": "final",
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| 9 |
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"publisher": {
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| 10 |
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"name": "Terra Cognita",
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| 11 |
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"division": "Research",
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| 12 |
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"projectName": "SEEDS Lab",
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| 13 |
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"confidentialityLevel": "public"
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| 14 |
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}
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| 15 |
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},
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| 16 |
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"task": {
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| 17 |
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"taskStage": "finetuning",
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| 18 |
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"taskFamily": "multiModalTextGeneration",
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| 19 |
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"algorithms": [
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| 20 |
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{
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| 21 |
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"trainingType": "transferLearning",
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| 22 |
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"algorithmType": "vlm",
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| 23 |
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"algorithmName": "transformer",
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| 24 |
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"foundationModelName": "Qwen/Qwen2.5-VL-7B-Instruct",
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| 25 |
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"foundationModelUri": "https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct",
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| 26 |
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"parametersNumber": 7,
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| 27 |
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"framework": "PyTorch",
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| 28 |
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"frameworkVersion": "2.9.0",
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| 29 |
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"epochsNumber": 3,
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| 30 |
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"optimizer": "adamw_8bit",
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| 31 |
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"quantization": "int4"
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| 32 |
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}
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| 33 |
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],
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| 34 |
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"dataset": [
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| 35 |
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{
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| 36 |
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"dataUsage": "input",
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| 37 |
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"dataType": "image",
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| 38 |
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"source": "public",
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| 39 |
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"subset": ["train", "validation"],
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| 40 |
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"sourceUri": "https://huggingface.co/datasets/Barth371/cmr-all",
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| 41 |
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"fileType": "json",
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| 42 |
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"dataFormat": "json",
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| 43 |
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"dataSize": 0.5236,
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| 44 |
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"volume": 562240572,
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| 45 |
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"volumeUnit": "byte",
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| 46 |
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"owner": "Barth371"
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| 47 |
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}
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| 48 |
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],
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| 49 |
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"taskDescription": "Vision-language model fine-tuning using Qwen/Qwen2.5-VL-7B-Instruct with LoRA (r=16, alpha=16) on dataset: Barth371/cmr-all"
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| 50 |
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},
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| 51 |
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"measures": [
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| 52 |
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{
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| 53 |
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"measurementMethod": "codecarbon",
|
| 54 |
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"version": "2.5.0",
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| 55 |
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"cpuTrackingMode": "process",
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"gpuTrackingMode": "nvml",
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| 57 |
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"powerConsumption": 0.85665,
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| 58 |
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"measurementDuration": 8609.35,
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| 59 |
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"measurementDateTime": "2025-10-22 12:47:11",
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| 60 |
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"averageUtilizationCpu": 0.05,
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| 61 |
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"averageUtilizationGpu": 0.9449
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| 62 |
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}
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| 63 |
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],
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| 64 |
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"infrastructure": {
|
| 65 |
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"infraType": "onPremise",
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| 66 |
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"components": [
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| 67 |
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{
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| 68 |
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"componentType": "gpu",
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| 69 |
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"nbComponent": 1,
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| 70 |
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"share": 1,
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| 71 |
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"componentName": "1 x RTX 3090 Ti",
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| 72 |
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"manufacturer": "NVIDIA",
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| 73 |
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"series": "RTX 3090 Ti",
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| 74 |
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"family": "RTX",
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| 75 |
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"memorySize": 23
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| 76 |
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},
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{
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| 78 |
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"componentType": "cpu",
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| 79 |
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"nbComponent": 1,
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"share": 1,
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| 81 |
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"componentName": "Core i9-10850K CPU @ 3.60GHz",
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"manufacturer": "Intel",
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| 83 |
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"series": "Core i9-10850K CPU @ 3.60GHz",
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| 84 |
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"family": "Core i9-10850K"
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| 85 |
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},
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{
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"componentType": "ram",
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}
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]
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},
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"system": {
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"os": "Linux",
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"distributionVersion": "6.1.0-37-amd64",
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"distribution": "Debian GNU/Linux 12 (bookworm)"
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},
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"software": {
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"language": "Python",
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"environment": {
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"country": "FR",
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"location": "",
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"powerSupplierType": "public",
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"powerSourceCarbonIntensity": 56.04
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"quality": "high"
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}
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data/report_terra_cognita_vision_training_onPrem_1761174706.json
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{
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"header": {
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| 3 |
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"licensing": "Creative Commons 4.0",
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| 4 |
+
"formatVersion": "1.1.0",
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| 5 |
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"formatVersionSpecificationUri": "https://raw.githubusercontent.com/Boavizta/BoAmps/main/model/report_schema.json",
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| 6 |
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"reportId": "vision-training-1761174706",
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| 7 |
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"reportDatetime": "2025-10-23 00:19:41",
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| 8 |
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"reportStatus": "final",
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| 9 |
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"publisher": {
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| 10 |
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"name": "Terra Cognita",
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| 11 |
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"division": "Research",
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| 12 |
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"projectName": "SEEDS Lab",
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| 13 |
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"confidentialityLevel": "public"
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| 14 |
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}
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| 15 |
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},
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| 16 |
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"task": {
|
| 17 |
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