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cwe-parent-vulnerability-classification-roberta-base-roberta-base

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CIRCL/cwe-parent-vulnerability-classification-roberta-base-roberta-base

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Files changed (5) hide show
  1. README.md +45 -45
  2. config.json +52 -52
  3. emissions.csv +1 -1
  4. metrics.json +6 -6
  5. model.safetensors +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6490
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- - Accuracy: 0.6452
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- - F1 Macro: 0.4825
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  ## Model description
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@@ -51,51 +51,51 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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- | 3.1744 | 1.0 | 234 | 2.9202 | 0.1655 | 0.0682 |
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- | 2.3863 | 2.0 | 468 | 2.2049 | 0.4179 | 0.2748 |
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- | 1.9917 | 3.0 | 702 | 1.9277 | 0.5131 | 0.3250 |
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- | 1.617 | 4.0 | 936 | 1.7494 | 0.5762 | 0.3687 |
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- | 1.27 | 5.0 | 1170 | 1.7202 | 0.5798 | 0.3744 |
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- | 1.1845 | 6.0 | 1404 | 1.7314 | 0.6024 | 0.4028 |
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- | 1.1197 | 7.0 | 1638 | 1.6490 | 0.6452 | 0.4825 |
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- | 1.0453 | 8.0 | 1872 | 1.7107 | 0.6381 | 0.4659 |
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- | 0.6282 | 9.0 | 2106 | 1.6758 | 0.6536 | 0.5108 |
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- | 0.7391 | 10.0 | 2340 | 1.6929 | 0.6452 | 0.5256 |
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- | 0.5555 | 11.0 | 2574 | 1.7681 | 0.6762 | 0.5248 |
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- | 0.4857 | 12.0 | 2808 | 1.8233 | 0.6940 | 0.5267 |
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- | 0.4891 | 13.0 | 3042 | 1.9212 | 0.7131 | 0.5488 |
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- | 0.3272 | 14.0 | 3276 | 2.0065 | 0.7202 | 0.5296 |
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- | 0.2221 | 15.0 | 3510 | 1.9993 | 0.7190 | 0.5335 |
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- | 0.2426 | 16.0 | 3744 | 2.0301 | 0.7048 | 0.5495 |
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- | 0.1999 | 17.0 | 3978 | 2.1874 | 0.6833 | 0.5283 |
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- | 0.131 | 18.0 | 4212 | 2.2069 | 0.7345 | 0.5826 |
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- | 0.1219 | 19.0 | 4446 | 2.2270 | 0.7036 | 0.5364 |
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- | 0.0942 | 20.0 | 4680 | 2.4053 | 0.7083 | 0.5590 |
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- | 0.114 | 21.0 | 4914 | 2.4296 | 0.7333 | 0.5790 |
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- | 0.0691 | 22.0 | 5148 | 2.5488 | 0.7381 | 0.5546 |
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- | 0.0575 | 23.0 | 5382 | 2.4609 | 0.7274 | 0.5631 |
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- | 0.0665 | 24.0 | 5616 | 2.6766 | 0.7440 | 0.5625 |
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- | 0.0386 | 25.0 | 5850 | 2.7689 | 0.7440 | 0.5480 |
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- | 0.0688 | 26.0 | 6084 | 2.7388 | 0.7107 | 0.5382 |
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- | 0.0522 | 27.0 | 6318 | 2.9133 | 0.7464 | 0.5615 |
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- | 0.0559 | 28.0 | 6552 | 2.9099 | 0.7452 | 0.5591 |
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- | 0.0303 | 29.0 | 6786 | 2.9052 | 0.7595 | 0.5707 |
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- | 0.0277 | 30.0 | 7020 | 3.0239 | 0.75 | 0.5754 |
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- | 0.0292 | 31.0 | 7254 | 3.1133 | 0.7440 | 0.5590 |
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- | 0.013 | 32.0 | 7488 | 3.1130 | 0.7536 | 0.5769 |
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- | 0.0095 | 33.0 | 7722 | 3.2587 | 0.7429 | 0.5691 |
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- | 0.0303 | 34.0 | 7956 | 3.2025 | 0.7536 | 0.5728 |
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- | 0.0199 | 35.0 | 8190 | 3.1846 | 0.7512 | 0.5651 |
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- | 0.0106 | 36.0 | 8424 | 3.1951 | 0.7488 | 0.5478 |
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- | 0.0149 | 37.0 | 8658 | 3.2673 | 0.7512 | 0.5680 |
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- | 0.01 | 38.0 | 8892 | 3.3173 | 0.7440 | 0.5643 |
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- | 0.0076 | 39.0 | 9126 | 3.3449 | 0.75 | 0.5667 |
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- | 0.0075 | 40.0 | 9360 | 3.3469 | 0.7464 | 0.5647 |
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  ### Framework versions
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98
  - Transformers 4.57.1
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- - Pytorch 2.9.0+cu128
100
- - Datasets 4.3.0
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  - Tokenizers 0.22.1
 
18
 
19
  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
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+ - Loss: 1.3755
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+ - Accuracy: 0.6603
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+ - F1 Macro: 0.4616
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25
  ## Model description
26
 
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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+ | 2.9549 | 1.0 | 238 | 2.9056 | 0.0948 | 0.0729 |
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+ | 2.2865 | 2.0 | 476 | 1.9760 | 0.4946 | 0.3041 |
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+ | 1.8517 | 3.0 | 714 | 1.7010 | 0.5114 | 0.3522 |
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+ | 1.6439 | 4.0 | 952 | 1.5457 | 0.6074 | 0.3826 |
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+ | 1.3475 | 5.0 | 1190 | 1.5154 | 0.5894 | 0.3608 |
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+ | 1.1372 | 6.0 | 1428 | 1.4379 | 0.6327 | 0.4183 |
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+ | 1.0323 | 7.0 | 1666 | 1.3955 | 0.6411 | 0.4184 |
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+ | 0.8662 | 8.0 | 1904 | 1.3755 | 0.6603 | 0.4616 |
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+ | 0.8135 | 9.0 | 2142 | 1.4626 | 0.6807 | 0.4703 |
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+ | 0.632 | 10.0 | 2380 | 1.4197 | 0.6999 | 0.4439 |
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+ | 0.5727 | 11.0 | 2618 | 1.4083 | 0.6795 | 0.4878 |
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+ | 0.5429 | 12.0 | 2856 | 1.5234 | 0.6651 | 0.4823 |
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+ | 0.3597 | 13.0 | 3094 | 1.5866 | 0.7107 | 0.4995 |
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+ | 0.3076 | 14.0 | 3332 | 1.6262 | 0.7191 | 0.5243 |
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+ | 0.2458 | 15.0 | 3570 | 1.7271 | 0.6963 | 0.5259 |
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+ | 0.2052 | 16.0 | 3808 | 1.7799 | 0.7011 | 0.4556 |
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+ | 0.1801 | 17.0 | 4046 | 1.7717 | 0.7179 | 0.4983 |
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+ | 0.187 | 18.0 | 4284 | 2.0014 | 0.7239 | 0.5273 |
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+ | 0.1473 | 19.0 | 4522 | 1.9999 | 0.7419 | 0.5388 |
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+ | 0.1198 | 20.0 | 4760 | 1.9328 | 0.7275 | 0.5336 |
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+ | 0.152 | 21.0 | 4998 | 2.0637 | 0.7407 | 0.4759 |
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+ | 0.0692 | 22.0 | 5236 | 2.2153 | 0.7647 | 0.5553 |
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+ | 0.0632 | 23.0 | 5474 | 2.1253 | 0.7431 | 0.5381 |
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+ | 0.069 | 24.0 | 5712 | 2.2856 | 0.7587 | 0.5443 |
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+ | 0.0472 | 25.0 | 5950 | 2.3607 | 0.7611 | 0.5286 |
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+ | 0.0452 | 26.0 | 6188 | 2.4693 | 0.7539 | 0.5191 |
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+ | 0.0388 | 27.0 | 6426 | 2.4699 | 0.7587 | 0.5550 |
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+ | 0.0412 | 28.0 | 6664 | 2.5062 | 0.7659 | 0.5332 |
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+ | 0.0419 | 29.0 | 6902 | 2.4443 | 0.7551 | 0.5488 |
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+ | 0.0238 | 30.0 | 7140 | 2.5642 | 0.7479 | 0.5487 |
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+ | 0.0616 | 31.0 | 7378 | 2.5451 | 0.7623 | 0.5511 |
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+ | 0.0163 | 32.0 | 7616 | 2.6758 | 0.7599 | 0.5450 |
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+ | 0.028 | 33.0 | 7854 | 2.6806 | 0.7671 | 0.5432 |
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+ | 0.0147 | 34.0 | 8092 | 2.6815 | 0.7647 | 0.5518 |
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+ | 0.0251 | 35.0 | 8330 | 2.7046 | 0.7611 | 0.5470 |
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+ | 0.0151 | 36.0 | 8568 | 2.6610 | 0.7527 | 0.5440 |
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+ | 0.0128 | 37.0 | 8806 | 2.7269 | 0.7551 | 0.5426 |
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+ | 0.0421 | 38.0 | 9044 | 2.7759 | 0.7515 | 0.5437 |
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+ | 0.0259 | 39.0 | 9282 | 2.7239 | 0.7587 | 0.5444 |
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+ | 0.0046 | 40.0 | 9520 | 2.7196 | 0.7599 | 0.5448 |
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  ### Framework versions
97
 
98
  - Transformers 4.57.1
99
+ - Pytorch 2.9.1+cu128
100
+ - Datasets 4.4.1
101
  - Tokenizers 0.22.1
config.json CHANGED
@@ -11,62 +11,62 @@
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  "hidden_size": 768,
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  "layer_norm_eps": 1e-05,
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
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emissions.csv CHANGED
@@ -1,2 +1,2 @@
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1
  timestamp,project_name,run_id,experiment_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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metrics.json CHANGED
@@ -1,9 +1,9 @@
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  {
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  "epoch": 40.0
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  }
 
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7
+ "eval_steps_per_second": 10.84,
8
  "epoch": 40.0
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  }
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