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Text Classification
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Safetensors
bert
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  1. README.md +27 -78
  2. emissions.csv +1 -1
README.md CHANGED
@@ -16,7 +16,25 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1398
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Model description
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@@ -45,83 +63,14 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 1.5417 | 0.4 | 10 | 1.2782 |
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- | 1.2171 | 0.8 | 20 | 0.9827 |
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- | 0.7965 | 1.2 | 30 | 0.6443 |
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- | 0.5738 | 1.6 | 40 | 0.4631 |
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- | 0.4821 | 2.0 | 50 | 0.3206 |
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- | 0.2171 | 2.4 | 60 | 0.2231 |
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- | 0.2034 | 2.8 | 70 | 0.1725 |
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- | 0.1357 | 3.2 | 80 | 0.1658 |
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- | 0.0586 | 3.6 | 90 | 0.1403 |
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- | 0.0684 | 4.0 | 100 | 0.1158 |
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- | 0.0356 | 4.4 | 110 | 0.1498 |
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- | 0.0361 | 4.8 | 120 | 0.1576 |
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- | 0.0112 | 5.2 | 130 | 0.1059 |
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- | 0.015 | 5.6 | 140 | 0.1060 |
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- | 0.0131 | 6.0 | 150 | 0.0932 |
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- | 0.006 | 6.4 | 160 | 0.0976 |
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- | 0.0053 | 6.8 | 170 | 0.1208 |
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- | 0.0051 | 7.2 | 180 | 0.1345 |
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- | 0.004 | 7.6 | 190 | 0.1419 |
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- | 0.0035 | 8.0 | 200 | 0.1383 |
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- | 0.0034 | 8.4 | 210 | 0.1333 |
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- | 0.003 | 8.8 | 220 | 0.1370 |
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- | 0.0027 | 9.2 | 230 | 0.1400 |
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- | 0.0026 | 9.6 | 240 | 0.1403 |
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- | 0.0026 | 10.0 | 250 | 0.1411 |
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- | 0.0025 | 10.4 | 260 | 0.1395 |
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- | 0.0022 | 10.8 | 270 | 0.1330 |
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- | 0.0021 | 11.2 | 280 | 0.1325 |
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- | 0.002 | 11.6 | 290 | 0.1327 |
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- | 0.0021 | 12.0 | 300 | 0.1344 |
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- | 0.0018 | 12.4 | 310 | 0.1357 |
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- | 0.0019 | 12.8 | 320 | 0.1374 |
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- | 0.0019 | 13.2 | 330 | 0.1382 |
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- | 0.0017 | 13.6 | 340 | 0.1392 |
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- | 0.0029 | 14.0 | 350 | 0.1318 |
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- | 0.0016 | 14.4 | 360 | 0.1281 |
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- | 0.0016 | 14.8 | 370 | 0.1272 |
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- | 0.0014 | 15.2 | 380 | 0.1281 |
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- | 0.0015 | 15.6 | 390 | 0.1296 |
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- | 0.0014 | 16.0 | 400 | 0.1312 |
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- | 0.0014 | 16.4 | 410 | 0.1325 |
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- | 0.0013 | 16.8 | 420 | 0.1320 |
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- | 0.0013 | 17.2 | 430 | 0.1326 |
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- | 0.0013 | 17.6 | 440 | 0.1339 |
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- | 0.0013 | 18.0 | 450 | 0.1353 |
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- | 0.0013 | 18.4 | 460 | 0.1374 |
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- | 0.0012 | 18.8 | 470 | 0.1379 |
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- | 0.0012 | 19.2 | 480 | 0.1378 |
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- | 0.0012 | 19.6 | 490 | 0.1382 |
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- | 0.0013 | 20.0 | 500 | 0.1398 |
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- | 0.0011 | 20.4 | 510 | 0.1410 |
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- | 0.0011 | 20.8 | 520 | 0.1409 |
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- | 0.0012 | 21.2 | 530 | 0.1401 |
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- | 0.0011 | 21.6 | 540 | 0.1398 |
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- | 0.001 | 22.0 | 550 | 0.1393 |
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- | 0.0011 | 22.4 | 560 | 0.1382 |
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- | 0.0011 | 22.8 | 570 | 0.1380 |
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- | 0.0011 | 23.2 | 580 | 0.1377 |
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- | 0.001 | 23.6 | 590 | 0.1380 |
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- | 0.0011 | 24.0 | 600 | 0.1385 |
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- | 0.001 | 24.4 | 610 | 0.1386 |
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- | 0.001 | 24.8 | 620 | 0.1386 |
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- | 0.0009 | 25.2 | 630 | 0.1387 |
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- | 0.001 | 25.6 | 640 | 0.1393 |
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- | 0.001 | 26.0 | 650 | 0.1397 |
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- | 0.001 | 26.4 | 660 | 0.1398 |
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- | 0.001 | 26.8 | 670 | 0.1399 |
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- | 0.0009 | 27.2 | 680 | 0.1401 |
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- | 0.001 | 27.6 | 690 | 0.1401 |
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- | 0.001 | 28.0 | 700 | 0.1402 |
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- | 0.001 | 28.4 | 710 | 0.1403 |
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- | 0.0009 | 28.8 | 720 | 0.1403 |
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- | 0.001 | 29.2 | 730 | 0.1404 |
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- | 0.0009 | 29.6 | 740 | 0.1404 |
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- | 0.001 | 30.0 | 750 | 0.1404 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3122
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+ - Hate Precision: 1.0
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+ - Hate Recall: 1.0
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+ - Hate F1: 1.0
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+ - Sexual Precision: 0.0
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+ - Sexual Recall: 0.0
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+ - Sexual F1: 0.0
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+ - Racism Precision: 0.0
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+ - Racism Recall: 0.0
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+ - Racism F1: 0.0
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+ - Threat Precision: 0.0
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+ - Threat Recall: 0.0
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+ - Threat F1: 0.0
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+ - Neutral Precision: 0.0
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+ - Neutral Recall: 0.0
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+ - Neutral F1: 0.0
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+ - Macro Precision: 0.2
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+ - Macro Recall: 0.2
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+ - Macro F1: 0.2
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Hate Precision | Hate Recall | Hate F1 | Sexual Precision | Sexual Recall | Sexual F1 | Racism Precision | Racism Recall | Racism F1 | Threat Precision | Threat Recall | Threat F1 | Neutral Precision | Neutral Recall | Neutral F1 | Macro Precision | Macro Recall | Macro F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------------:|:-----------:|:-------:|:----------------:|:-------------:|:---------:|:----------------:|:-------------:|:---------:|:----------------:|:-------------:|:---------:|:-----------------:|:--------------:|:----------:|:---------------:|:------------:|:--------:|
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+ | 0.5808 | 5.0 | 10 | 0.4806 | 0.8333 | 1.0 | 0.9091 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1667 | 0.2 | 0.1818 |
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+ | 0.4203 | 10.0 | 20 | 0.3815 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | 0.2 |
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+ | 0.3519 | 15.0 | 30 | 0.3618 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | 0.2 |
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+ | 0.2748 | 20.0 | 40 | 0.3329 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | 0.2 |
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+ | 0.2373 | 25.0 | 50 | 0.3168 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | 0.2 |
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+ | 0.2129 | 30.0 | 60 | 0.3122 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | 0.2 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
emissions.csv CHANGED
@@ -1,2 +1,2 @@
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  timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
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- 2024-10-18T16:01:20,codecarbon,f05b3236-ea96-4551-8435-c421463ef35c,316.2909507751465,0.00911397214308664,2.8815153012600187e-05,42.5,9.607069023359761,23.706603527069092,0.003733829533060391,0.016221091032418,0.0020806356154164287,0.022035556180894818,Türkiye,TUR,istanbul,,,Windows-11-10.0.22631-SP0,3.12.7,2.3.5,32,AMD Ryzen 9 7950X3D 16-Core Processor,1,1 x NVIDIA GeForce RTX 4070 SUPER,28.9773,41.0479,63.21760940551758,machine,N,1.0
 
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  timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
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+ 2024-10-30T13:02:21,codecarbon,af9ca30c-c4cc-45e1-867c-fb665052d599,20.972460985183716,0.0005066267719503505,2.415676311465135e-05,42.5,56.02271372357641,23.706603527069092,0.0002475856059127384,0.0008408020615300327,0.00013652310919654357,0.0012249107766393146,Türkiye,TUR,istanbul,,,Windows-11-10.0.22631-SP0,3.12.7,2.3.5,32,AMD Ryzen 9 7950X3D 16-Core Processor,1,1 x NVIDIA GeForce RTX 4070 SUPER,28.9773,41.0479,63.21760940551758,machine,N,1.0