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ferrazzipietro/crfTask-unsup-Llama-3.1-8B-Instruct-datav2-all

sourceHugging Facellama3.1updated 7mo agoView on Hugging Face
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Model Card

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crfTask-unsup-Llama-3.1-8B-Instruct-datav2-all

This model is a fine-tuned version of ferrazzipietro/unsup-Llama-3.1-8B-Instruct-datav2 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.1922
  • —F1 Micro: 0.9606
  • —F1 Macro: 0.4251
  • —F1 Weighted: 0.9631

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • —learning_rate: 0.0003
  • —trainbatchsize: 64
  • —evalbatchsize: 256
  • —seed: 42
  • —distributed_type: multi-GPU
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-07 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 1

Training results

Training LossEpochStepValidation LossF1 MicroF1 MacroF1 Weighted
1.67190.002422.01770.00.00.0
1.67190.004742.01770.00.00.0
1.74610.007162.01350.00.00.0
1.74610.009581.99790.00.00.0
1.71250.0118101.96720.00.00.0
1.71250.0142121.91560.00.00.0
1.71250.0165141.82920.00.00.0
1.59690.0189161.71720.00.00.0
1.59690.0213181.58390.00030.00000.0005
1.36410.0236201.44840.02380.00080.0433
1.36410.0260221.33850.03450.00130.0432
1.36410.0284241.25990.07480.00220.0559
1.15160.0307261.19380.33520.04540.1820
1.15160.0331281.1250.36360.04580.2350
1.06330.0355301.06200.38470.05990.2799
1.06330.0378321.01330.46800.07290.4653
1.06330.0402340.98390.54190.08060.4254
0.93750.0426360.96220.55860.04480.4271
0.93750.0449380.94640.54630.06060.4375
0.86410.0473400.93330.49780.07850.4978
0.86410.0496420.92290.39160.08920.2844
0.86410.0520440.90910.39810.09460.2947
0.96640.0544460.89710.68260.11330.6892
0.96640.0567480.88440.59530.14060.4955
0.87810.0591500.87240.67740.15830.6552
0.87810.0615520.86040.73380.17220.7450
0.87810.0638540.84950.76370.16910.7578
0.79610.0662560.84060.76230.18200.7582
0.79610.0686580.83200.74150.18050.7397
0.78050.0709600.82600.76700.19030.7645
0.78050.0733620.81850.77850.15590.7728
0.78050.0757640.81330.80280.14240.7908
0.91330.0780660.80700.80750.14990.7978
0.91330.0804680.80290.79350.16590.8045
0.84770.0827700.79870.80310.17550.8124
0.84770.0851720.79510.80910.17380.8193
0.84770.0875740.79140.72890.18120.7474
0.78050.0898760.78800.74840.20970.7176
0.78050.0922780.78440.74620.22500.7606
0.85620.0946800.78070.83490.22130.8212
0.85620.0969820.77920.84880.22460.8335
0.85620.0993840.77600.82450.19370.8116
0.77270.1017860.77270.85130.16490.8384
0.77270.1040880.77010.84090.13340.8264
0.70780.1064900.76930.83490.19380.8419
0.70780.1087920.76590.83110.20290.8480
0.70780.1111940.76380.86060.19200.8659
0.74770.1135960.76280.84690.24590.8656
0.74770.1158980.75960.86560.24520.8819
0.72270.11821000.75890.89160.23260.8991
0.72270.12061020.75570.89320.28090.8976
0.72270.12291040.75440.89050.26480.8880
0.82340.12531060.75360.89240.24800.8837
0.82340.12771080.75100.89270.20290.8822
0.74920.13001100.74920.90060.20830.8914
0.74920.13241120.74870.90310.26370.9034
0.74920.13481140.74790.91510.22810.9159
0.74690.13711160.74430.91070.18700.9112
0.74690.13951180.74140.91540.19670.9175
0.80940.14181200.73930.91540.21830.9192
0.80940.14421220.73780.92250.21300.9238
0.80940.14661240.73670.91650.20260.9142
0.71640.14891260.73440.92280.27220.9253
0.71640.15131280.73310.87050.27290.8801
0.70230.15371300.72990.92000.29140.9283
0.70230.15601320.72860.87350.25870.8746
0.70230.15841340.72760.90250.27250.9074
0.73670.16081360.72530.91210.25920.9213
0.73670.16311380.72340.87100.27300.8848
0.71720.16551400.72110.91180.27030.9184
0.71720.16781420.71770.93260.29760.9340
0.71720.17021440.71510.91020.30540.9079
0.72030.17261460.71380.93700.28830.9379
0.72030.17491480.71200.92630.28730.9293
0.75470.17731500.71020.93480.29380.9372
0.75470.17971520.70730.92140.27000.9198
0.75470.18201540.70440.92250.30020.9223
0.69060.18441560.70230.93480.28500.9379
0.69060.18681580.70000.92740.28130.9312
0.69690.18911600.69820.93180.26890.9350
0.69690.19151620.69510.93480.28820.9349
0.69690.19391640.69240.91730.27670.9129
0.68520.19621660.69110.91980.32890.9150
0.68520.19861680.68880.93730.36150.9377
0.64450.20091700.68700.92690.33640.9297
0.64450.20331720.68460.93100.31380.9348
0.64450.20571740.68280.93890.30910.9415
0.66410.20801760.68070.92580.32050.9283
0.66410.21041780.67760.92850.31940.9332
0.65080.21281800.67470.93260.32840.9395
0.65080.21511820.67340.93320.34660.9395
0.65080.21751840.67190.93430.29370.9387
0.650.21991860.66980.93780.30940.9403
0.650.22221880.66740.93670.33290.9365
0.66560.22461900.66430.91840.35960.9155
0.66560.22701920.66070.92740.34180.9260
0.66560.22931940.65960.93950.34610.9401
0.6570.23171960.65620.93480.32610.9372
0.6570.23401980.65570.93260.33470.9356
0.74220.23642000.65260.94140.36700.9440
0.74220.23882020.65050.94580.38060.9474
0.74220.24112040.64820.94140.38280.9440
0.65550.24352060.64480.93950.40170.9432
0.65550.24592080.64220.94170.37700.9459
0.71250.24822100.63980.94470.33150.9477
0.71250.25062120.63830.94610.32950.9480
0.71250.25302140.63590.94550.32510.9474
0.62030.25532160.63440.94410.30780.9450
0.62030.25772180.63150.94110.36860.9422
0.63440.26002200.62860.93950.35540.9408
0.63440.26242220.62530.94000.35810.9408
0.63440.26482240.62320.93920.35350.9396
0.62970.26712260.62060.93780.34990.9385
0.62970.26952280.61720.93870.33910.9396
0.60310.27192300.61460.94030.33380.9413
0.60310.27422320.61300.94550.34730.9455
0.60310.27662340.61020.94660.34770.9456
0.57930.27902360.60780.94300.35200.9410
0.57930.28132380.60570.94610.42440.9457
0.5840.28372400.60440.94720.41480.9476
0.5840.28612420.60050.94410.35640.9450
0.5840.28842440.59740.94360.34590.9447
0.56250.29082460.59270.94390.35720.9446
0.56250.29312480.58980.94390.37160.9461
0.63980.29552500.58650.94910.42310.9524
0.63980.29792520.58390.95260.36940.9559
0.63980.30022540.58150.94910.39960.9528
0.5430.30262560.57890.94190.41080.9466
0.5430.30502580.57660.93810.42420.9424
0.56480.30732600.57450.94910.38980.9529
0.56480.30972620.57190.94720.33640.9499
0.56480.31212640.56880.94740.33400.9500
0.53670.31442660.56690.94770.35240.9504
0.53670.31682680.56510.94610.34700.9495
0.51020.31912700.56090.94280.34060.9466
0.51020.32152720.55890.94110.32970.9445
0.51020.32392740.55570.94300.32940.9455
0.52270.32622760.55290.94390.33430.9458
0.52270.32862780.55080.94470.31410.9469
0.51720.33102800.54840.93650.33290.9399
0.51720.33332820.54660.94060.36650.9443
0.51720.33572840.54480.95540.35920.9576
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0.52030.34042880.53850.94280.34530.9462
0.5070.34282900.53450.94580.33570.9494
0.5070.34522920.53270.95320.40800.9557
0.5070.34752940.52920.95290.41380.9550
0.51560.34992960.52590.94850.38560.9511
0.51560.35222980.52340.94850.37700.9510
0.47380.35463000.52100.94910.36660.9506
0.47380.35703020.51850.93780.32500.9389
0.47380.35933040.51590.94330.34270.9454
0.51050.36173060.51480.94740.37500.9510
0.51050.36413080.51150.94300.36410.9467
0.48160.36643100.50870.94630.35620.9500
0.48160.36883120.50660.95130.38750.9551
0.48160.37123140.50310.94300.35930.9472
0.5180.37353160.50040.93890.34170.9440
0.5180.37593180.49840.94500.34060.9508
0.48950.37833200.49490.94690.34140.9523
0.48950.38063220.49320.94930.33460.9535
0.48950.38303240.49050.94960.34900.9533
0.49020.38533260.48790.95130.35090.9545
0.49020.38773280.48580.95240.34520.9551
0.39770.39013300.48370.95260.34510.9551
0.39770.39243320.47980.95350.34750.9558
0.39770.39483340.47720.95290.34750.9554
0.43280.39723360.47500.95370.34760.9556
0.43280.39953380.47300.95320.34640.9550
0.42580.40193400.46950.95260.31530.9546
0.42580.40433420.46580.95320.33500.9555
0.42580.40663440.46330.95180.35970.9545
0.4180.40903460.46160.94960.33050.9523
0.4180.41133480.45960.94850.32560.9515
0.43320.41373500.45660.95180.33190.9545
0.43320.41613520.45460.95400.34550.9566
0.43320.41843540.45170.95290.33740.9551
0.43320.42083560.44750.95450.33770.9565
0.43320.42323580.44490.95700.34210.9593
0.42580.42553600.44240.95100.33910.9545
0.42580.42793620.44040.94770.37650.9519
0.42580.43033640.43820.95320.38190.9566
0.39340.43263660.43660.95590.38130.9585
0.39340.43503680.43350.95540.39840.9576
0.41090.43743700.43150.94720.40240.9484
0.41090.43973720.42840.94500.33310.9461
0.41090.44213740.42600.95070.35140.9525
0.40860.44443760.42300.94990.37440.9532
0.40860.44683780.42190.94390.39260.9481
0.41950.44923800.42020.94360.38890.9476
0.41950.45153820.41650.94880.39510.9523
0.41950.45393840.41370.95150.36030.9543
0.39140.45633860.41250.95450.37050.9569
0.39140.45863880.40890.95510.35190.9575
0.34730.46103900.40690.95260.36920.9553
0.34730.46343920.40510.95430.38320.9572
0.34730.46573940.40330.95450.39440.9580
0.39410.46813960.40040.95450.40440.9583
0.39410.47043980.39840.95760.39790.9603
0.34140.47284000.39580.95670.39660.9594
0.34140.47524020.39280.95350.39720.9562
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0.35310.48464100.38460.95650.37600.9584
0.35310.48704120.38150.95260.37810.9543
0.35310.48944140.37920.95540.37780.9574
0.36250.49174160.37790.95700.36870.9596
0.36250.49414180.37530.95400.41980.9567
0.34880.49654200.37270.94690.42160.9500
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0.34180.51304340.35730.95350.38330.9552
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0.31090.52484440.34880.95210.37860.9559
0.27750.52724460.34820.95240.37870.9559
0.27750.52964480.34560.95210.37730.9556
0.30860.53194500.34310.95210.37840.9556
0.30860.53434520.34300.95210.37850.9555
0.30860.53664540.34150.95350.37900.9567
0.28810.53904560.33880.95510.38020.9581
0.28810.54144580.33590.95540.38100.9582
0.29020.54374600.33360.95480.37070.9573
0.29020.54614620.33130.95020.36650.9523
0.29020.54854640.32830.94930.37700.9510
0.28630.55084660.32640.95540.36880.9573
0.28630.55324680.32450.95730.37820.9595
0.24920.55564700.32200.95370.37830.9565
0.24920.55794720.32030.95130.38400.9545
0.24920.56034740.31870.95150.37680.9546
0.29730.56264760.31760.95430.37730.9570
0.29730.56504780.31640.95560.37590.9581
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0.23070.56974820.31330.95370.38680.9554
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0.14820.79206700.21000.96140.42790.9634
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Framework versions

  • —PEFT 0.18.1
  • —Transformers 4.51.0
  • —Pytorch 2.8.0+cu128
  • —Datasets 3.6.0
  • —Tokenizers 0.21.0