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2025-06-01 19:07:29
2025-06-07 03:09:58
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2025-06-04T00:35:18
jbcs2025
d4fd3bcd-1d90-4ab6-90c9-bbee54a6d37f
Llama-3.1-8B-llama31_ordinal_coral_lora-C1
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70
525.591563
70
0.073837
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FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
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machine
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2025-06-05T23:01:22
jbcs2025
058ea7c3-f82a-4627-bd2d-61df033d7894
Llama-3.1-8B-llama31_ordinal_coral_lora-C2
3,813.614762
0.042349
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70
420.832002
70
0.073009
0.609793
0.072897
0.755698
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FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
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192
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2025-06-06T17:45:56
jbcs2025
24da34d7-af96-4aad-b1a4-e74bacbdc7a5
Llama-3.1-8B-llama31_ordinal_coral_lora-C3
4,280.546352
0.047206
0.000011
70.105
651.446103
70
0.089327
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FRA
รฎle-de-france
null
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2025-06-06T19:57:25
jbcs2025
43faab97-bc03-4f05-9086-faa2f95f2ed1
Llama-3.1-8B-llama31_ordinal_coral_lora-C4
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70.484615
630.621812
70
0.083607
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FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
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2025-06-06T23:44:13
jbcs2025
3c297c66-a9ce-44e6-8391-38d812df5973
Llama-3.1-8B-llama31_ordinal_coral_lora-C5
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70.886667
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0.0843
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Canada
CAN
quebec
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
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machine
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2025-06-04T01:51:01
jbcs2025
872957ab-6c45-43e7-babe-1644e8446768
Llama-3.1-8B-llama31_ordinal_corn_lora-C1
3,812.54511
0.042782
0.000011
70
168.069342
70
0.073812
0.616756
0.072857
0.763425
France
FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
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192
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2025-06-06T00:06:47
jbcs2025
e21eb199-b701-4592-a9e7-d3a7f7ef347e
Llama-3.1-8B-llama31_ordinal_corn_lora-C2
3,819.01482
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70
601.421498
70
0.073258
0.609796
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France
FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
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192
INTEL(R) XEON(R) PLATINUM 8568Y+
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2.3494
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2025-06-06T18:37:40
jbcs2025
060b9489-a4b9-47f3-97d8-46aafbd48493
Llama-3.1-8B-llama31_ordinal_corn_lora-C3
2,317.371404
0.025524
0.000011
70
577.984514
70
0.051675
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FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
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192
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2025-06-07T03:09:58
jbcs2025
f91b7df0-f2dd-4632-8af4-949e8c14d520
Llama-3.1-8B-llama31_ordinal_corn_lora-C4
2,904.490313
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659.70556
70
0.056078
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FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
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192
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2025-06-06T22:22:53
jbcs2025
de8de8c2-ec50-4a94-9afe-ab04b3b9c4c9
Llama-3.1-8B-llama31_ordinal_corn_lora-C5
4,813.140504
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0.000011
74.415385
596.143074
70
0.093485
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France
FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
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192
INTEL(R) XEON(R) PLATINUM 8568Y+
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2025-06-01T21:47:10
jbcs2025
509d6883-7a01-45df-b3ef-611ec942e79e
Phi-3.5-mini-instruct-phi35_ordinal_coral_lora-C2
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70
658.738281
70
0.098665
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France
FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
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192
INTEL(R) XEON(R) PLATINUM 8568Y+
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2025-06-01T23:17:10
jbcs2025
c1881c0a-fe67-43ae-8bbd-ff45c61c46fb
Phi-3.5-mini-instruct-phi35_ordinal_coral_lora-C3
3,882.523278
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70
643.145233
70
0.076832
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0.074215
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France
FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
3.12.10
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192
INTEL(R) XEON(R) PLATINUM 8568Y+
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2025-06-03T19:53:26
jbcs2025
3fed230e-26e7-443d-9225-d59ca77b9604
Phi-3.5-mini-instruct-phi35_ordinal_coral_lora-C4
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0.018804
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70
588.923495
70
0.035592
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0.035105
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France
FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
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192
INTEL(R) XEON(R) PLATINUM 8568Y+
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1 x NVIDIA H200
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machine
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2025-06-03T22:51:08
jbcs2025
250fcb85-3665-43b7-9162-1257f6ee81ce
Phi-3.5-mini-instruct-phi35_ordinal_coral_lora-C5
4,390.771565
0.045301
0.00001
70.572727
611.478966
70
0.084922
0.639539
0.08393
0.808391
France
FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
3.12.10
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192
INTEL(R) XEON(R) PLATINUM 8568Y+
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1 x NVIDIA H200
2.3494
48.8558
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machine
N
1
2025-06-01T19:07:29
jbcs2025
e9b1d177-b5b5-47e5-b39f-e3aebd8a9d40
Phi-3.5-mini-instruct-phi35_ordinal_corn_lora-C2
4,069.301664
0.042428
0.00001
70
653.727799
70
0.080751
0.598569
0.077787
0.757108
France
FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
3.12.10
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192
INTEL(R) XEON(R) PLATINUM 8568Y+
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1 x NVIDIA H200
2.3494
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machine
N
1
2025-06-02T00:37:51
jbcs2025
bce0f614-8b32-4f6f-b197-67578685f378
Phi-3.5-mini-instruct-phi35_ordinal_corn_lora-C3
3,372.120564
0.034478
0.00001
70
633.724406
70
0.064515
0.48627
0.064459
0.615244
France
FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
3.12.10
3.0.2
192
INTEL(R) XEON(R) PLATINUM 8568Y+
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1 x NVIDIA H200
2.3494
48.8558
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machine
N
1
2025-06-05T16:40:18
jbcs2025
259879d6-025d-419f-a0b0-eb4a470930c0
Phi-3.5-mini-instruct-phi35_ordinal_corn_lora-C4
3,111.582134
0.031692
0.00001
70
644.479354
70
0.059763
0.446304
0.059476
0.565543
France
FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
3.12.10
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192
INTEL(R) XEON(R) PLATINUM 8568Y+
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1 x NVIDIA H200
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2025-06-05T18:22:37
jbcs2025
ade9ac13-285f-49b3-b732-b2fbc30ea198
Phi-3.5-mini-instruct-phi35_ordinal_corn_lora-C5
3,840.554607
0.039252
0.00001
70
635.922599
70
0.073564
0.553453
0.07342
0.700437
France
FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
3.12.10
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192
INTEL(R) XEON(R) PLATINUM 8568Y+
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1 x NVIDIA H200
2.3494
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machine
N
1
2025-06-02T02:47:16
jbcs2025
96f25a11-233d-46be-b9b5-24a7ebe1324e
phi-4-phi4_ordinal_coral_lora-C1
6,812.512273
0.079128
0.000012
70
250.690742
70
0.130443
1.151345
0.130228
1.412016
France
FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
3.12.10
3.0.2
192
INTEL(R) XEON(R) PLATINUM 8568Y+
1
1 x NVIDIA H200
2.3494
48.8558
2,015.363514
machine
N
1
2025-06-02T09:23:40
jbcs2025
3481be08-b2d4-47e4-86f4-0a7999a43fdb
phi-4-phi4_ordinal_coral_lora-C2
7,643.17066
0.088148
0.000012
70
656.320305
70
0.146927
1.279927
0.146114
1.572968
France
FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
3.12.10
3.0.2
192
INTEL(R) XEON(R) PLATINUM 8568Y+
1
1 x NVIDIA H200
2.3494
48.8558
2,015.363514
machine
N
1
2025-06-02T14:27:19
jbcs2025
61aef161-fa24-4a95-87c7-9e7dd408ae55
phi-4-phi4_ordinal_coral_lora-C3
6,014.045711
0.069717
0.000012
132.7
583.710339
70
0.126881
1.002232
0.114963
1.244075
France
FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
3.12.10
3.0.2
192
INTEL(R) XEON(R) PLATINUM 8568Y+
1
1 x NVIDIA H200
2.3494
48.8558
2,015.363514
machine
N
1
2025-06-02T17:54:35
jbcs2025
994acb3e-6a57-4749-8f47-218530df8f45
phi-4-phi4_ordinal_coral_lora-C4
4,423.688509
0.05085
0.000011
70.484615
632.702967
70
0.085679
0.737171
0.084563
0.907412
France
FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
3.12.10
3.0.2
192
INTEL(R) XEON(R) PLATINUM 8568Y+
1
1 x NVIDIA H200
2.3494
48.8558
2,015.363514
machine
N
1
2025-06-02T21:48:46
jbcs2025
87932e01-4d38-4d77-9e0c-46ae0a90dabd
phi-4-phi4_ordinal_coral_lora-C5
7,543.727215
0.08665
0.000011
70.05
647.081341
70
0.146557
1.255473
0.144206
1.546236
France
FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
3.12.10
3.0.2
192
INTEL(R) XEON(R) PLATINUM 8568Y+
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1 x NVIDIA H200
2.3494
48.8558
2,015.363514
machine
N
1
2025-06-02T04:21:38
jbcs2025
21ac4bad-2583-4e1e-b147-8304d003a4b0
phi-4-phi4_ordinal_corn_lora-C1
5,471.16306
0.063395
0.000012
70
624.699555
70
0.104773
0.921903
0.104588
1.131264
France
FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
3.12.10
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192
INTEL(R) XEON(R) PLATINUM 8568Y+
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1 x NVIDIA H200
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2,015.363514
machine
N
1
2025-06-02T12:17:22
jbcs2025
2d107a80-f160-432e-8e85-4d44ce2d5184
phi-4-phi4_ordinal_corn_lora-C2
7,665.015278
0.08863
0.000012
70
637.467336
70
0.148527
1.286517
0.146525
1.581569
France
FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
3.12.10
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192
INTEL(R) XEON(R) PLATINUM 8568Y+
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2,015.363514
machine
N
1
2025-06-02T16:16:29
jbcs2025
d5014913-d07b-4473-a432-121f2bdabeab
phi-4-phi4_ordinal_corn_lora-C3
6,003.647401
0.068959
0.000011
81.025
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70
0.116547
0.999239
0.114762
1.230548
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FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
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192
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machine
N
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2025-06-02T19:32:34
jbcs2025
ca9deb5f-7f74-4b78-a1ee-f01012f327a2
phi-4-phi4_ordinal_corn_lora-C4
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0.032831
0.000011
71.983333
625.261766
70
0.055446
0.475712
0.054704
0.585862
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FRA
รฎle-de-france
null
null
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machine
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2025-06-03T00:34:35
jbcs2025
7782bc0e-4f17-4918-86f0-d66fbfec35c4
phi-4-phi4_ordinal_corn_lora-C5
7,566.962297
0.086877
0.000011
70
575.298155
70
0.146358
1.259291
0.144639
1.550287
France
FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
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192
INTEL(R) XEON(R) PLATINUM 8568Y+
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1 x NVIDIA H200
2.3494
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2,015.363514
machine
N
1
2025-06-02T12:32:32
jbcs2025
827d2eee-877f-4316-9a2c-18ea0895a0a2
bert-base-portuguese-cased-encoder_ordinal_coral-C1
71.407454
0.000371
0.000005
83.045455
213.749049
70
0.001483
0.003773
0.001359
0.006615
France
FRA
รฎle-de-france
null
null
Linux-5.15.0-136-generic-x86_64-with-glibc2.35
3.12.10
3.0.2
192
INTEL(R) XEON(R) PLATINUM 8568Y+
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1 x NVIDIA H200
2.3494
48.8558
2,015.363514
machine
N
1
2025-06-03T00:53:21
jbcs2025
e839e4d0-70f8-4206-abef-ed15a38f26cd
bert-base-portuguese-cased-encoder_ordinal_coral-C2
46.127131
0.000255
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jbcs2025
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2025-06-03T01:33:10
jbcs2025
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2025-06-03T01:39:05
jbcs2025
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2025-06-02T12:39:33
jbcs2025
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2025-06-03T01:41:21
jbcs2025
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2025-06-03T01:45:09
jbcs2025
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2025-06-03T01:55:38
jbcs2025
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2025-06-03T01:59:48
jbcs2025
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2025-06-02T12:41:21
jbcs2025
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2025-06-03T01:43:35
jbcs2025
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2025-06-03T01:52:37
jbcs2025
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2025-06-03T02:15:12
jbcs2025
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2025-06-03T02:17:27
jbcs2025
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1 x NVIDIA H200
2.3494
48.8558
2,015.363514
machine
N
1

Masters Updated Models - Training Emissions and Evaluation Results

This repository contains comprehensive training emissions data and evaluation results for various model architectures used in the masters project.

Dataset Configurations

This dataset includes multiple configurations for different data types and model categories:

Emissions Data

  • emissions: Carbon emissions tracking data from all model training runs

Evaluation Results by Model Type

  • evaluation_results_slm: Results for SLM decoder models (Phi-3.5 variants)
  • evaluation_results_encoder: Results for encoder models

Repository Structure

runs/
โ”œโ”€โ”€ slm_decoder_models/
โ”‚   โ”œโ”€โ”€ Phi-3.5-mini-instruct-phi35_ordinal_coral_lora-C1/
โ”‚   โ”‚   โ”œโ”€โ”€ evaluation_results.csv
โ”‚   โ”‚   โ”œโ”€โ”€ run_experiment.log
โ”‚   โ”‚   โ”œโ”€โ”€ .hydra/
โ”‚   โ”‚   โ”œโ”€โ”€ logs/
โ”‚   โ”‚   โ””โ”€โ”€ results/
โ”‚   โ”œโ”€โ”€ Phi-3.5-mini-instruct-phi35_ordinal_coral_lora-C2/
โ”‚   โ”‚   โ”œโ”€โ”€ emissions.csv
โ”‚   โ”‚   โ”œโ”€โ”€ evaluation_results.csv
โ”‚   โ”‚   โ”œโ”€โ”€ run_experiment.log
โ”‚   โ”‚   โ”œโ”€โ”€ .hydra/
โ”‚   โ”‚   โ”œโ”€โ”€ logs/
โ”‚   โ”‚   โ””โ”€โ”€ results/
โ”‚   โ”œโ”€โ”€ Phi-3.5-mini-instruct-phi35_ordinal_coral_lora-C3/
โ”‚   โ”œโ”€โ”€ Phi-3.5-mini-instruct-phi35_ordinal_corn_lora-C1/
โ”‚   โ””โ”€โ”€ Phi-3.5-mini-instruct-phi35_ordinal_corn_lora-C2/
โ”œโ”€โ”€ encoder_models/
โ”‚   โ””โ”€โ”€ [model directories with similar structure]
โ”œโ”€โ”€ base_models/
โ”‚   โ””โ”€โ”€ [model directories with similar structure]
โ””โ”€โ”€ large_models/
    โ””โ”€โ”€ [model directories with similar structure]

Usage with Hugging Face Datasets

from datasets import load_dataset

# Load all emissions data
emissions = load_dataset("your-username/masters-updated-models", "emissions")

# Load specific evaluation results
slm_results = load_dataset("your-username/masters-updated-models", "evaluation_results_slm")
encoder_results = load_dataset("your-username/masters-updated-models", "evaluation_results_encoder")

# Load all evaluation results combined
all_results = load_dataset("your-username/masters-updated-models", "all_evaluation_results")

Model Categories

SLM Decoder Models

  • Phi-3.5-mini-instruct with ordinal CORAL LoRA (C1, C2, C3)
  • Phi-3.5-mini-instruct with ordinal CORN LoRA (C1, C2)

Encoder Models

[List encoder models once confirmed]

Base Models

[List base models once confirmed]

Large Models

[List large models once confirmed]

Emissions Tracking

All emissions data is tracked using CodeCarbon v3.0.2, capturing:

  • Energy consumption (CPU, GPU, RAM)
  • Carbon emissions and emission rates
  • Hardware specifications (Intel Xeon Platinum 8568Y+, NVIDIA H200)
  • Geographic information (France, รŽle-de-France region)
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