Upload 10 files
Browse filesJ'ai ajouter le nbrequest et adapté les commentaires
- report_SSG_inference_question-answering_privateCloud_35348ab0-1abf-4839-9f2c-33c5e9b10fe4.json +73 -0
- report_SSG_inference_question-answering_privateCloud_372309f6-196b-4286-98a2-67ddb959ebe5.json +73 -0
- report_SSG_inference_question-answering_privateCloud_3adf12f2-31a3-454a-a9d7-6e1710a412f2.json +73 -0
- report_SSG_inference_question-answering_privateCloud_3d11ef38-e5f9-43f0-ac25-fcdd61115133.json +73 -0
- report_SSG_inference_question-answering_privateCloud_66b9b016-e026-4d02-ae96-b83e978897c7.json +73 -0
- report_SSG_inference_question-answering_privateCloud_70d6ebc5-7244-49c4-9603-6522d78db536.json +73 -0
- report_SSG_inference_question-answering_privateCloud_9237143f-fd40-45e6-bf72-51d45f5401fa.json +73 -0
- report_SSG_inference_question-answering_privateCloud_a3342146-0d82-4501-acf4-47cb7d9fda17.json +73 -0
- report_SSG_inference_question-answering_privateCloud_b502f765-2c20-4f4a-9265-5126c5b4eba0.json +73 -0
- report_SSG_inference_question-answering_privateCloud_bd01b8bb-5c3f-44ef-b1f8-81e7bb3305ed.json +73 -0
report_SSG_inference_question-answering_privateCloud_35348ab0-1abf-4839-9f2c-33c5e9b10fe4.json
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{
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"header": {
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"reportId":"b502f765-2c20-4f4a-9265-5126c5b4eba0",
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"reportDatetime":"2024-09-30T09:10:41",
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"reportStatus":"final",
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"publisher": {
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"name":"SopraSteriaGroup",
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"division":"sustAIn",
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"projectName":"GA2I",
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"confidentialityLevel":"public"
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}
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},
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"task": {
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"taskFamily":"question-answering",
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"taskStage":"inference",
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"nbRequest":104,
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"algorithms": [
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{
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"algorithmType":"llm",
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"foundationModelName":"llama2-13b",
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"parametersNumber":13.0,
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"framework":"vllm",
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"quantization":"q16"
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}
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],
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"dataset": [
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{
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"dataUsage":"input",
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"dataType":"token",
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"dataQuantity":3225,
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"source":"private",
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"owner":"SSG"
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}
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],
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"estimatedAccuracy":"good",
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"taskDescription":"Simple question answer with 104 questions from simple ones to contextualised one. Dataset : 92 simple questions (Average : 11 Tokens) and 12 contextualized questions (On average question of 15 Tokens and contexts of 160 Tokens). Test on a single GPU Even if the node have 2 available GPU."
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},
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"measures": [
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{
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"measurementMethod":"codecarbon",
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"version":"2.5.0",
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"cpuTrackingMode":"machine",
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"gpuTrackingMode":"machine",
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"powerConsumption":0.0048764027775579,
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"measurementDuration":34.46843481063843,
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"measurementDateTime":"2024-09-30T09:10:41"
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}
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],
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"system": {
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"os":"Linux-5.15.0-116-generic-x86_64-with-glibc2.35"
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},
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"software": {
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"language":"python",
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"version":"3.10.12"
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},
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"infrastructure": {
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"infraType":"privateCloud",
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"cloudProvider":"OVH-v100s",
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"components": [
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{
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"componentName":"Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz",
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"componentType":"cpu",
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"nbComponent":30
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}
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]
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},
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"environment": {
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"country":"France",
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"latitude":48.8582,
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"longitude":2.3387
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},
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"quality":"high"
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}
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report_SSG_inference_question-answering_privateCloud_372309f6-196b-4286-98a2-67ddb959ebe5.json
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{
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"header": {
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"reportId":"a3342146-0d82-4501-acf4-47cb7d9fda17",
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"reportDatetime":"2024-10-22T05:44:53",
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"reportStatus":"final",
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"publisher": {
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"name":"SopraSteriaGroup",
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"division":"sustAIn",
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"projectName":"GA2I",
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"confidentialityLevel":"public"
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}
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},
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"task": {
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"taskFamily":"question-answering",
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"taskStage":"inference",
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"nbRequest":104,
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"algorithms": [
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{
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"algorithmType":"llm",
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"foundationModelName":"phi3med-14b",
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"parametersNumber":14.0,
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"framework":"vllm",
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"quantization":"q16"
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}
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],
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"dataset": [
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{
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"dataUsage":"input",
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"dataType":"token",
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"dataQuantity":3533,
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"source":"private",
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"owner":"SSG"
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}
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],
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"estimatedAccuracy":"good",
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"taskDescription":"Simple question answer with 104 questions from simple ones to contextualised one. Dataset : 92 simple questions (Average : 11 Tokens) and 12 contextualized questions (On average question of 15 Tokens and contexts of 160 Tokens). Test on a single GPU Even if the node have 2 available GPU."
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| 37 |
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},
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"measures": [
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{
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"measurementMethod":"codecarbon",
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"version":"2.5.0",
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"cpuTrackingMode":"machine",
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| 43 |
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"gpuTrackingMode":"machine",
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"powerConsumption":0.0111332190261356,
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| 45 |
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"measurementDuration":84.0584135055542,
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| 46 |
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"measurementDateTime":"2024-10-22T05:44:53"
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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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"system": {
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| 50 |
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"os":"Linux-5.15.0-116-generic-x86_64-with-glibc2.35"
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| 51 |
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},
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| 52 |
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"software": {
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| 53 |
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"language":"python",
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| 54 |
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"version":"3.10.12"
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| 55 |
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},
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"infrastructure": {
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| 57 |
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"infraType":"privateCloud",
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| 58 |
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"cloudProvider":"OVH-v100s",
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| 59 |
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"components": [
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| 60 |
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{
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| 61 |
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"componentName":"Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz",
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"componentType":"cpu",
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| 63 |
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"nbComponent":30
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| 64 |
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}
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]
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| 66 |
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},
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"environment": {
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"country":"France",
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| 69 |
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"latitude":48.8582,
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| 70 |
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"longitude":2.3387
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| 71 |
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},
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| 72 |
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"quality":"high"
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| 73 |
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}
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report_SSG_inference_question-answering_privateCloud_3adf12f2-31a3-454a-a9d7-6e1710a412f2.json
ADDED
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@@ -0,0 +1,73 @@
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{
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"header": {
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| 3 |
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"reportId":"35348ab0-1abf-4839-9f2c-33c5e9b10fe4",
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| 4 |
+
"reportDatetime":"2024-09-30T08:28:17",
|
| 5 |
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"reportStatus":"final",
|
| 6 |
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"publisher": {
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| 7 |
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"name":"SopraSteriaGroup",
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| 8 |
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"division":"sustAIn",
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| 9 |
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"projectName":"GA2I",
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| 10 |
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"confidentialityLevel":"public"
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| 11 |
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}
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| 12 |
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},
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| 13 |
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"task": {
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| 14 |
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"taskFamily":"question-answering",
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| 15 |
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"taskStage":"inference",
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| 16 |
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"nbRequest":104,
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| 17 |
+
"algorithms": [
|
| 18 |
+
{
|
| 19 |
+
"algorithmType":"llm",
|
| 20 |
+
"foundationModelName":"llama2-13b",
|
| 21 |
+
"parametersNumber":13.0,
|
| 22 |
+
"framework":"vllm",
|
| 23 |
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"quantization":"q16"
|
| 24 |
+
}
|
| 25 |
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],
|
| 26 |
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"dataset": [
|
| 27 |
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{
|
| 28 |
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"dataUsage":"input",
|
| 29 |
+
"dataType":"token",
|
| 30 |
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"dataQuantity":3225,
|
| 31 |
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"source":"private",
|
| 32 |
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"owner":"SSG"
|
| 33 |
+
}
|
| 34 |
+
],
|
| 35 |
+
"estimatedAccuracy":"good",
|
| 36 |
+
"taskDescription":"Simple question answer with 104 questions from simple ones to contextualised one. Dataset : 92 simple questions (Average : 11 Tokens) and 12 contextualized questions (On average question of 15 Tokens and contexts of 160 Tokens). Test on a single GPU Even if the node have 2 available GPU."
|
| 37 |
+
},
|
| 38 |
+
"measures": [
|
| 39 |
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{
|
| 40 |
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"measurementMethod":"codecarbon",
|
| 41 |
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"version":"2.5.0",
|
| 42 |
+
"cpuTrackingMode":"machine",
|
| 43 |
+
"gpuTrackingMode":"machine",
|
| 44 |
+
"powerConsumption":0.0016147225036887,
|
| 45 |
+
"measurementDuration":11.497305870056152,
|
| 46 |
+
"measurementDateTime":"2024-09-30T08:28:17"
|
| 47 |
+
}
|
| 48 |
+
],
|
| 49 |
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"system": {
|
| 50 |
+
"os":"Linux-5.15.0-116-generic-x86_64-with-glibc2.35"
|
| 51 |
+
},
|
| 52 |
+
"software": {
|
| 53 |
+
"language":"python",
|
| 54 |
+
"version":"3.10.12"
|
| 55 |
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},
|
| 56 |
+
"infrastructure": {
|
| 57 |
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"infraType":"privateCloud",
|
| 58 |
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"cloudProvider":"OVH-v100s",
|
| 59 |
+
"components": [
|
| 60 |
+
{
|
| 61 |
+
"componentName":"Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz",
|
| 62 |
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"componentType":"cpu",
|
| 63 |
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"nbComponent":30
|
| 64 |
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}
|
| 65 |
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]
|
| 66 |
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},
|
| 67 |
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"environment": {
|
| 68 |
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"country":"France",
|
| 69 |
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"latitude":48.8582,
|
| 70 |
+
"longitude":2.3387
|
| 71 |
+
},
|
| 72 |
+
"quality":"high"
|
| 73 |
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}
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report_SSG_inference_question-answering_privateCloud_3d11ef38-e5f9-43f0-ac25-fcdd61115133.json
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@@ -0,0 +1,73 @@
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{
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| 2 |
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"header": {
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| 3 |
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"reportId":"1493516d-828f-496f-84e1-2eb5b24845ff",
|
| 4 |
+
"reportDatetime":"2024-11-07T09:45:29",
|
| 5 |
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"reportStatus":"final",
|
| 6 |
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"publisher": {
|
| 7 |
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"name":"SopraSteriaGroup",
|
| 8 |
+
"division":"sustAIn",
|
| 9 |
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"projectName":"GA2I",
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| 10 |
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"confidentialityLevel":"public"
|
| 11 |
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}
|
| 12 |
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},
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| 13 |
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"task": {
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| 14 |
+
"taskFamily":"question-answering",
|
| 15 |
+
"taskStage":"inference",
|
| 16 |
+
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|
| 17 |
+
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|
| 18 |
+
{
|
| 19 |
+
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|
| 20 |
+
"foundationModelName":"meta-llama-3-13b-instruct-gguf",
|
| 21 |
+
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|
| 22 |
+
"framework":"llamacpp",
|
| 23 |
+
"quantization":"q6k"
|
| 24 |
+
}
|
| 25 |
+
],
|
| 26 |
+
"dataset": [
|
| 27 |
+
{
|
| 28 |
+
"dataUsage":"input",
|
| 29 |
+
"dataType":"token",
|
| 30 |
+
"dataQuantity":5930,
|
| 31 |
+
"source":"private",
|
| 32 |
+
"owner":"SSG"
|
| 33 |
+
}
|
| 34 |
+
],
|
| 35 |
+
"estimatedAccuracy":"good",
|
| 36 |
+
"taskDescription":"Simple question answer with 104 questions from simple ones to contextualised one. Dataset : 92 simple questions (Average : 11 Tokens) and 12 contextualized questions (On average question of 15 Tokens and contexts of 160 Tokens). Test on a single GPU Even if the node have 2 available GPU."
|
| 37 |
+
},
|
| 38 |
+
"measures": [
|
| 39 |
+
{
|
| 40 |
+
"measurementMethod":"codecarbon",
|
| 41 |
+
"version":"2.5.0",
|
| 42 |
+
"cpuTrackingMode":"machine",
|
| 43 |
+
"gpuTrackingMode":"machine",
|
| 44 |
+
"powerConsumption":0.0010697891100869,
|
| 45 |
+
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|
| 46 |
+
"measurementDateTime":"2024-11-07T09:45:29"
|
| 47 |
+
}
|
| 48 |
+
],
|
| 49 |
+
"system": {
|
| 50 |
+
"os":"Linux-5.15.0-124-generic-x86_64-with-glibc2.35"
|
| 51 |
+
},
|
| 52 |
+
"software": {
|
| 53 |
+
"language":"python",
|
| 54 |
+
"version":"3.10.12"
|
| 55 |
+
},
|
| 56 |
+
"infrastructure": {
|
| 57 |
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"infraType":"privateCloud",
|
| 58 |
+
"cloudProvider":"OVH-v100s",
|
| 59 |
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"components": [
|
| 60 |
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{
|
| 61 |
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"componentName":"Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz",
|
| 62 |
+
"componentType":"cpu",
|
| 63 |
+
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|
| 64 |
+
}
|
| 65 |
+
]
|
| 66 |
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|
| 67 |
+
"environment": {
|
| 68 |
+
"country":"France",
|
| 69 |
+
"latitude":48.8582,
|
| 70 |
+
"longitude":2.3387
|
| 71 |
+
},
|
| 72 |
+
"quality":"high"
|
| 73 |
+
}
|
report_SSG_inference_question-answering_privateCloud_66b9b016-e026-4d02-ae96-b83e978897c7.json
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"header": {
|
| 3 |
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"reportId":"3d11ef38-e5f9-43f0-ac25-fcdd61115133",
|
| 4 |
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"reportDatetime":"2024-11-06T10:15:23",
|
| 5 |
+
"reportStatus":"final",
|
| 6 |
+
"publisher": {
|
| 7 |
+
"name":"SopraSteriaGroup",
|
| 8 |
+
"division":"sustAIn",
|
| 9 |
+
"projectName":"GA2I",
|
| 10 |
+
"confidentialityLevel":"public"
|
| 11 |
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}
|
| 12 |
+
},
|
| 13 |
+
"task": {
|
| 14 |
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|
| 15 |
+
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|
| 16 |
+
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|
| 17 |
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|
| 18 |
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{
|
| 19 |
+
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|
| 20 |
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|
| 21 |
+
"parametersNumber":13.0,
|
| 22 |
+
"framework":"llamacpp",
|
| 23 |
+
"quantization":"8bit0"
|
| 24 |
+
}
|
| 25 |
+
],
|
| 26 |
+
"dataset": [
|
| 27 |
+
{
|
| 28 |
+
"dataUsage":"input",
|
| 29 |
+
"dataType":"token",
|
| 30 |
+
"dataQuantity":5930,
|
| 31 |
+
"source":"private",
|
| 32 |
+
"owner":"SSG"
|
| 33 |
+
}
|
| 34 |
+
],
|
| 35 |
+
"estimatedAccuracy":"good",
|
| 36 |
+
"taskDescription":"Simple question answer with 104 questions from simple ones to contextualised one. Dataset : 92 simple questions (Average : 11 Tokens) and 12 contextualized questions (On average question of 15 Tokens and contexts of 160 Tokens). Test on a single GPU Even if the node have 2 available GPU."
|
| 37 |
+
},
|
| 38 |
+
"measures": [
|
| 39 |
+
{
|
| 40 |
+
"measurementMethod":"codecarbon",
|
| 41 |
+
"version":"2.5.0",
|
| 42 |
+
"cpuTrackingMode":"machine",
|
| 43 |
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"gpuTrackingMode":"machine",
|
| 44 |
+
"powerConsumption":0.0007014954565571,
|
| 45 |
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|
| 46 |
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|
| 47 |
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}
|
| 48 |
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],
|
| 49 |
+
"system": {
|
| 50 |
+
"os":"Linux-5.15.0-124-generic-x86_64-with-glibc2.35"
|
| 51 |
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},
|
| 52 |
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"software": {
|
| 53 |
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"language":"python",
|
| 54 |
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"version":"3.10.12"
|
| 55 |
+
},
|
| 56 |
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"infrastructure": {
|
| 57 |
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"infraType":"privateCloud",
|
| 58 |
+
"cloudProvider":"OVH-v100s",
|
| 59 |
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"components": [
|
| 60 |
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{
|
| 61 |
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"componentName":"Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz",
|
| 62 |
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"componentType":"cpu",
|
| 63 |
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|
| 64 |
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}
|
| 65 |
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]
|
| 66 |
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|
| 67 |
+
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|
| 68 |
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"country":"France",
|
| 69 |
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|
| 70 |
+
"longitude":2.3387
|
| 71 |
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},
|
| 72 |
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"quality":"high"
|
| 73 |
+
}
|
report_SSG_inference_question-answering_privateCloud_70d6ebc5-7244-49c4-9603-6522d78db536.json
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"header": {
|
| 3 |
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|
| 4 |
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|
| 5 |
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"reportStatus":"final",
|
| 6 |
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|
| 7 |
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"name":"SopraSteriaGroup",
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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}
|
| 12 |
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},
|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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{
|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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}
|
| 25 |
+
],
|
| 26 |
+
"dataset": [
|
| 27 |
+
{
|
| 28 |
+
"dataUsage":"input",
|
| 29 |
+
"dataType":"token",
|
| 30 |
+
"dataQuantity":2987,
|
| 31 |
+
"source":"private",
|
| 32 |
+
"owner":"SSG"
|
| 33 |
+
}
|
| 34 |
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],
|
| 35 |
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"estimatedAccuracy":"good",
|
| 36 |
+
"taskDescription":"Simple question answer with 104 questions from simple ones to contextualised one. Dataset : 92 simple questions (Average : 11 Tokens) and 12 contextualized questions (On average question of 15 Tokens and contexts of 160 Tokens). Test on a single GPU Even if the node have 2 available GPU."
|
| 37 |
+
},
|
| 38 |
+
"measures": [
|
| 39 |
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{
|
| 40 |
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"measurementMethod":"codecarbon",
|
| 41 |
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"version":"2.5.0",
|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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],
|
| 49 |
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"system": {
|
| 50 |
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|
| 51 |
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},
|
| 52 |
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"software": {
|
| 53 |
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"language":"python",
|
| 54 |
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"version":"3.10.12"
|
| 55 |
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},
|
| 56 |
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"infrastructure": {
|
| 57 |
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|
| 58 |
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|
| 59 |
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"components": [
|
| 60 |
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{
|
| 61 |
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"componentName":"Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz",
|
| 62 |
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|
| 63 |
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|
| 64 |
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}
|
| 65 |
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]
|
| 66 |
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|
| 67 |
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"environment": {
|
| 68 |
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|
| 69 |
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|
| 70 |
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"longitude":2.3387
|
| 71 |
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|
| 72 |
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"quality":"high"
|
| 73 |
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}
|
report_SSG_inference_question-answering_privateCloud_9237143f-fd40-45e6-bf72-51d45f5401fa.json
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"header": {
|
| 3 |
+
"reportId":"70d6ebc5-7244-49c4-9603-6522d78db536",
|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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"name":"SopraSteriaGroup",
|
| 8 |
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|
| 9 |
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|
| 10 |
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"confidentialityLevel":"public"
|
| 11 |
+
}
|
| 12 |
+
},
|
| 13 |
+
"task": {
|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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{
|
| 19 |
+
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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}
|
| 25 |
+
],
|
| 26 |
+
"dataset": [
|
| 27 |
+
{
|
| 28 |
+
"dataUsage":"input",
|
| 29 |
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"dataType":"token",
|
| 30 |
+
"dataQuantity":3159,
|
| 31 |
+
"source":"private",
|
| 32 |
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"owner":"SSG"
|
| 33 |
+
}
|
| 34 |
+
],
|
| 35 |
+
"estimatedAccuracy":"good",
|
| 36 |
+
"taskDescription":"Simple question answer with 104 questions from simple ones to contextualised one. Dataset : 92 simple questions (Average : 11 Tokens) and 12 contextualized questions (On average question of 15 Tokens and contexts of 160 Tokens). Test on a single GPU Even if the node have 2 available GPU."
|
| 37 |
+
},
|
| 38 |
+
"measures": [
|
| 39 |
+
{
|
| 40 |
+
"measurementMethod":"codecarbon",
|
| 41 |
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"version":"2.5.0",
|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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],
|
| 49 |
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"system": {
|
| 50 |
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"os":"Linux-5.15.0-116-generic-x86_64-with-glibc2.35"
|
| 51 |
+
},
|
| 52 |
+
"software": {
|
| 53 |
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"language":"python",
|
| 54 |
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"version":"3.10.12"
|
| 55 |
+
},
|
| 56 |
+
"infrastructure": {
|
| 57 |
+
"infraType":"privateCloud",
|
| 58 |
+
"cloudProvider":"OVH-v100s",
|
| 59 |
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"components": [
|
| 60 |
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{
|
| 61 |
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"componentName":"Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz",
|
| 62 |
+
"componentType":"cpu",
|
| 63 |
+
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|
| 64 |
+
}
|
| 65 |
+
]
|
| 66 |
+
},
|
| 67 |
+
"environment": {
|
| 68 |
+
"country":"France",
|
| 69 |
+
"latitude":48.8582,
|
| 70 |
+
"longitude":2.3387
|
| 71 |
+
},
|
| 72 |
+
"quality":"high"
|
| 73 |
+
}
|
report_SSG_inference_question-answering_privateCloud_a3342146-0d82-4501-acf4-47cb7d9fda17.json
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
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|
|
|
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|
|
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|
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|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"header": {
|
| 3 |
+
"reportId":"bd01b8bb-5c3f-44ef-b1f8-81e7bb3305ed",
|
| 4 |
+
"reportDatetime":"2024-10-23T08:02:59",
|
| 5 |
+
"reportStatus":"final",
|
| 6 |
+
"publisher": {
|
| 7 |
+
"name":"SopraSteriaGroup",
|
| 8 |
+
"division":"sustAIn",
|
| 9 |
+
"projectName":"GA2I",
|
| 10 |
+
"confidentialityLevel":"public"
|
| 11 |
+
}
|
| 12 |
+
},
|
| 13 |
+
"task": {
|
| 14 |
+
"taskFamily":"question-answering",
|
| 15 |
+
"taskStage":"inference",
|
| 16 |
+
"nbRequest":104,
|
| 17 |
+
"algorithms": [
|
| 18 |
+
{
|
| 19 |
+
"algorithmType":"llm",
|
| 20 |
+
"foundationModelName":"phi3med-14b",
|
| 21 |
+
"parametersNumber":14.0,
|
| 22 |
+
"framework":"vllm",
|
| 23 |
+
"quantization":"q16"
|
| 24 |
+
}
|
| 25 |
+
],
|
| 26 |
+
"dataset": [
|
| 27 |
+
{
|
| 28 |
+
"dataUsage":"input",
|
| 29 |
+
"dataType":"token",
|
| 30 |
+
"dataQuantity":3533,
|
| 31 |
+
"source":"private",
|
| 32 |
+
"owner":"SSG"
|
| 33 |
+
}
|
| 34 |
+
],
|
| 35 |
+
"estimatedAccuracy":"good",
|
| 36 |
+
"taskDescription":"Simple question answer with 104 questions from simple ones to contextualised one. Dataset : 92 simple questions (Average : 11 Tokens) and 12 contextualized questions (On average question of 15 Tokens and contexts of 160 Tokens). Test on a single GPU Even if the node have 2 available GPU."
|
| 37 |
+
},
|
| 38 |
+
"measures": [
|
| 39 |
+
{
|
| 40 |
+
"measurementMethod":"codecarbon",
|
| 41 |
+
"version":"2.5.0",
|
| 42 |
+
"cpuTrackingMode":"machine",
|
| 43 |
+
"gpuTrackingMode":"machine",
|
| 44 |
+
"powerConsumption":0.0157068207062144,
|
| 45 |
+
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|
| 46 |
+
"measurementDateTime":"2024-10-23T08:02:59"
|
| 47 |
+
}
|
| 48 |
+
],
|
| 49 |
+
"system": {
|
| 50 |
+
"os":"Linux-5.15.0-116-generic-x86_64-with-glibc2.35"
|
| 51 |
+
},
|
| 52 |
+
"software": {
|
| 53 |
+
"language":"python",
|
| 54 |
+
"version":"3.10.12"
|
| 55 |
+
},
|
| 56 |
+
"infrastructure": {
|
| 57 |
+
"infraType":"privateCloud",
|
| 58 |
+
"cloudProvider":"OVH-v100s",
|
| 59 |
+
"components": [
|
| 60 |
+
{
|
| 61 |
+
"componentName":"Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz",
|
| 62 |
+
"componentType":"cpu",
|
| 63 |
+
"nbComponent":30
|
| 64 |
+
}
|
| 65 |
+
]
|
| 66 |
+
},
|
| 67 |
+
"environment": {
|
| 68 |
+
"country":"France",
|
| 69 |
+
"latitude":48.7898,
|
| 70 |
+
"longitude":2.5447
|
| 71 |
+
},
|
| 72 |
+
"quality":"high"
|
| 73 |
+
}
|
report_SSG_inference_question-answering_privateCloud_b502f765-2c20-4f4a-9265-5126c5b4eba0.json
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"header": {
|
| 3 |
+
"reportId":"9237143f-fd40-45e6-bf72-51d45f5401fa",
|
| 4 |
+
"reportDatetime":"2024-10-10T06:55:22",
|
| 5 |
+
"reportStatus":"final",
|
| 6 |
+
"publisher": {
|
| 7 |
+
"name":"SopraSteriaGroup",
|
| 8 |
+
"division":"sustAIn",
|
| 9 |
+
"projectName":"GA2I",
|
| 10 |
+
"confidentialityLevel":"public"
|
| 11 |
+
}
|
| 12 |
+
},
|
| 13 |
+
"task": {
|
| 14 |
+
"taskFamily":"question-answering",
|
| 15 |
+
"taskStage":"inference",
|
| 16 |
+
"nbRequest":10,
|
| 17 |
+
"algorithms": [
|
| 18 |
+
{
|
| 19 |
+
"algorithmType":"llm",
|
| 20 |
+
"foundationModelName":"llama2-13b",
|
| 21 |
+
"parametersNumber":13.0,
|
| 22 |
+
"framework":"vllm",
|
| 23 |
+
"quantization":"q16"
|
| 24 |
+
}
|
| 25 |
+
],
|
| 26 |
+
"dataset": [
|
| 27 |
+
{
|
| 28 |
+
"dataUsage":"input",
|
| 29 |
+
"dataType":"token",
|
| 30 |
+
"dataQuantity":1817,
|
| 31 |
+
"source":"private",
|
| 32 |
+
"owner":"SSG"
|
| 33 |
+
}
|
| 34 |
+
],
|
| 35 |
+
"estimatedAccuracy":"good",
|
| 36 |
+
"taskDescription":"10 Simple question answer with (Average : 11 Tokens). Test on a single GPU Even if the node have 2 available GPU."
|
| 37 |
+
},
|
| 38 |
+
"measures": [
|
| 39 |
+
{
|
| 40 |
+
"measurementMethod":"codecarbon",
|
| 41 |
+
"version":"2.5.0",
|
| 42 |
+
"cpuTrackingMode":"machine",
|
| 43 |
+
"gpuTrackingMode":"machine",
|
| 44 |
+
"powerConsumption":0.0006318521200859,
|
| 45 |
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"measurementDuration":4.509745121002197,
|
| 46 |
+
"measurementDateTime":"2024-10-10T06:55:22"
|
| 47 |
+
}
|
| 48 |
+
],
|
| 49 |
+
"system": {
|
| 50 |
+
"os":"Linux-5.15.0-116-generic-x86_64-with-glibc2.35"
|
| 51 |
+
},
|
| 52 |
+
"software": {
|
| 53 |
+
"language":"python",
|
| 54 |
+
"version":"3.10.12"
|
| 55 |
+
},
|
| 56 |
+
"infrastructure": {
|
| 57 |
+
"infraType":"privateCloud",
|
| 58 |
+
"cloudProvider":"OVH-v100s",
|
| 59 |
+
"components": [
|
| 60 |
+
{
|
| 61 |
+
"componentName":"Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz",
|
| 62 |
+
"componentType":"cpu",
|
| 63 |
+
"nbComponent":30
|
| 64 |
+
}
|
| 65 |
+
]
|
| 66 |
+
},
|
| 67 |
+
"environment": {
|
| 68 |
+
"country":"France",
|
| 69 |
+
"latitude":48.8582,
|
| 70 |
+
"longitude":2.3387
|
| 71 |
+
},
|
| 72 |
+
"quality":"high"
|
| 73 |
+
}
|
report_SSG_inference_question-answering_privateCloud_bd01b8bb-5c3f-44ef-b1f8-81e7bb3305ed.json
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"header": {
|
| 3 |
+
"reportId":"66b9b016-e026-4d02-ae96-b83e978897c7",
|
| 4 |
+
"reportDatetime":"2024-10-30T10:12:49",
|
| 5 |
+
"reportStatus":"final",
|
| 6 |
+
"publisher": {
|
| 7 |
+
"name":"SopraSteriaGroup",
|
| 8 |
+
"division":"sustAIn",
|
| 9 |
+
"projectName":"GA2I",
|
| 10 |
+
"confidentialityLevel":"public"
|
| 11 |
+
}
|
| 12 |
+
},
|
| 13 |
+
"task": {
|
| 14 |
+
"taskFamily":"question-answering",
|
| 15 |
+
"taskStage":"inference",
|
| 16 |
+
"nbRequest":104,
|
| 17 |
+
"algorithms": [
|
| 18 |
+
{
|
| 19 |
+
"algorithmType":"llm",
|
| 20 |
+
"foundationModelName":"mistral-7b-instruct",
|
| 21 |
+
"parametersNumber":7.0,
|
| 22 |
+
"framework":"vllm",
|
| 23 |
+
"quantization":"q16"
|
| 24 |
+
}
|
| 25 |
+
],
|
| 26 |
+
"dataset": [
|
| 27 |
+
{
|
| 28 |
+
"dataUsage":"input",
|
| 29 |
+
"dataType":"token",
|
| 30 |
+
"dataQuantity":4101,
|
| 31 |
+
"source":"private",
|
| 32 |
+
"owner":"SSG"
|
| 33 |
+
}
|
| 34 |
+
],
|
| 35 |
+
"estimatedAccuracy":"good",
|
| 36 |
+
"taskDescription":"Simple question answer with 104 questions from simple ones to contextualised one. Dataset : 92 simple questions (Average : 11 Tokens) and 12 contextualized questions (On average question of 15 Tokens and contexts of 160 Tokens). Test on a single GPU Even if the node have 2 available GPU."
|
| 37 |
+
},
|
| 38 |
+
"measures": [
|
| 39 |
+
{
|
| 40 |
+
"measurementMethod":"codecarbon",
|
| 41 |
+
"version":"2.5.0",
|
| 42 |
+
"cpuTrackingMode":"machine",
|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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}
|
| 48 |
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],
|
| 49 |
+
"system": {
|
| 50 |
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"os":"Linux-5.15.0-124-generic-x86_64-with-glibc2.35"
|
| 51 |
+
},
|
| 52 |
+
"software": {
|
| 53 |
+
"language":"python",
|
| 54 |
+
"version":"3.10.12"
|
| 55 |
+
},
|
| 56 |
+
"infrastructure": {
|
| 57 |
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"infraType":"privateCloud",
|
| 58 |
+
"cloudProvider":"OVH-v100s",
|
| 59 |
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"components": [
|
| 60 |
+
{
|
| 61 |
+
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|
| 62 |
+
"componentType":"cpu",
|
| 63 |
+
"nbComponent":30
|
| 64 |
+
}
|
| 65 |
+
]
|
| 66 |
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},
|
| 67 |
+
"environment": {
|
| 68 |
+
"country":"France",
|
| 69 |
+
"latitude":48.7898,
|
| 70 |
+
"longitude":2.5447
|
| 71 |
+
},
|
| 72 |
+
"quality":"high"
|
| 73 |
+
}
|