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cwe-parent-vulnerability-classification-roberta-base

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cedricbonhomme commited on
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CIRCL/cwe-parent-vulnerability-classification-roberta-base

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Files changed (5) hide show
  1. README.md +43 -43
  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: 1.8213
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- - Accuracy: 0.5673
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- - F1 Macro: 0.3582
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  ## Model description
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@@ -51,46 +51,46 @@ 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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- | 3.2359 | 1.0 | 237 | 3.0937 | 0.0334 | 0.0114 |
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- | 2.3278 | 2.0 | 474 | 2.2992 | 0.4303 | 0.2323 |
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- | 1.8161 | 3.0 | 711 | 1.9653 | 0.5089 | 0.2917 |
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- | 1.6283 | 4.0 | 948 | 1.8788 | 0.5292 | 0.3007 |
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- | 1.3258 | 5.0 | 1185 | 1.8253 | 0.5864 | 0.3392 |
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- | 1.3328 | 6.0 | 1422 | 1.8213 | 0.5673 | 0.3582 |
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- | 1.2914 | 7.0 | 1659 | 1.8573 | 0.5900 | 0.3604 |
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- | 0.8614 | 8.0 | 1896 | 1.8345 | 0.6198 | 0.3810 |
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- | 0.8253 | 9.0 | 2133 | 2.0121 | 0.6067 | 0.3568 |
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- | 0.7363 | 10.0 | 2370 | 2.0059 | 0.6508 | 0.4071 |
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- | 0.6406 | 11.0 | 2607 | 2.0866 | 0.6472 | 0.3906 |
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- | 0.4574 | 12.0 | 2844 | 2.1904 | 0.6377 | 0.3902 |
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- | 0.4834 | 13.0 | 3081 | 2.2417 | 0.6281 | 0.3797 |
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- | 0.3078 | 14.0 | 3318 | 2.3233 | 0.6830 | 0.4132 |
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- | 0.3217 | 15.0 | 3555 | 2.4203 | 0.6639 | 0.4020 |
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- | 0.2823 | 16.0 | 3792 | 2.4227 | 0.6615 | 0.3918 |
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- | 0.2392 | 17.0 | 4029 | 2.6133 | 0.6865 | 0.3844 |
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- | 0.1956 | 18.0 | 4266 | 2.6611 | 0.6675 | 0.3789 |
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- | 0.1504 | 19.0 | 4503 | 2.7612 | 0.6746 | 0.4158 |
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- | 0.1109 | 20.0 | 4740 | 2.8752 | 0.6710 | 0.3776 |
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- | 0.1091 | 21.0 | 4977 | 3.0530 | 0.6949 | 0.3776 |
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- | 0.13 | 22.0 | 5214 | 3.0540 | 0.6889 | 0.3766 |
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- | 0.0797 | 23.0 | 5451 | 3.2854 | 0.6770 | 0.4038 |
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- | 0.145 | 24.0 | 5688 | 3.2146 | 0.6973 | 0.3877 |
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- | 0.1004 | 25.0 | 5925 | 3.4159 | 0.6937 | 0.3850 |
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- | 0.0486 | 26.0 | 6162 | 3.4003 | 0.6865 | 0.3767 |
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- | 0.0544 | 27.0 | 6399 | 3.3643 | 0.6889 | 0.3822 |
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- | 0.082 | 28.0 | 6636 | 3.4874 | 0.6913 | 0.3818 |
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- | 0.0468 | 29.0 | 6873 | 3.5810 | 0.6877 | 0.3815 |
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- | 0.0308 | 30.0 | 7110 | 3.7565 | 0.6949 | 0.3837 |
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- | 0.0366 | 31.0 | 7347 | 3.6714 | 0.6961 | 0.3814 |
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- | 0.0388 | 32.0 | 7584 | 3.8502 | 0.6973 | 0.3957 |
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- | 0.0341 | 33.0 | 7821 | 3.8415 | 0.6973 | 0.3973 |
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- | 0.0417 | 34.0 | 8058 | 3.9342 | 0.7056 | 0.3864 |
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- | 0.0218 | 35.0 | 8295 | 3.9367 | 0.6996 | 0.3843 |
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- | 0.0607 | 36.0 | 8532 | 3.9262 | 0.6996 | 0.3841 |
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- | 0.0148 | 37.0 | 8769 | 3.9609 | 0.7020 | 0.4189 |
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- | 0.0186 | 38.0 | 9006 | 3.9656 | 0.6985 | 0.3822 |
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- | 0.0387 | 39.0 | 9243 | 3.9738 | 0.7044 | 0.3850 |
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- | 0.008 | 40.0 | 9480 | 3.9906 | 0.7044 | 0.3861 |
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  ### Framework versions
 
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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:
21
+ - Loss: 1.6858
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+ - Accuracy: 0.6126
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+ - F1 Macro: 0.3737
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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+ | 3.078 | 1.0 | 237 | 3.0510 | 0.1776 | 0.0529 |
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+ | 2.4726 | 2.0 | 474 | 2.2886 | 0.4398 | 0.2407 |
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+ | 2.2031 | 3.0 | 711 | 1.9511 | 0.5185 | 0.3141 |
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+ | 1.7872 | 4.0 | 948 | 1.7893 | 0.5638 | 0.3511 |
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+ | 1.4324 | 5.0 | 1185 | 1.7492 | 0.6305 | 0.3805 |
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+ | 1.2675 | 6.0 | 1422 | 1.6858 | 0.6126 | 0.3737 |
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+ | 1.0437 | 7.0 | 1659 | 1.7359 | 0.6675 | 0.4296 |
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+ | 0.8699 | 8.0 | 1896 | 1.7641 | 0.6746 | 0.4246 |
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+ | 0.8832 | 9.0 | 2133 | 1.8097 | 0.6746 | 0.4444 |
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+ | 0.8027 | 10.0 | 2370 | 1.8753 | 0.6698 | 0.4380 |
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+ | 0.4583 | 11.0 | 2607 | 1.8919 | 0.6830 | 0.4473 |
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+ | 0.5493 | 12.0 | 2844 | 1.8456 | 0.7080 | 0.4915 |
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+ | 0.4808 | 13.0 | 3081 | 1.9593 | 0.6841 | 0.4555 |
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+ | 0.4466 | 14.0 | 3318 | 2.0736 | 0.6865 | 0.4454 |
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+ | 0.2989 | 15.0 | 3555 | 2.1972 | 0.6961 | 0.4474 |
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+ | 0.255 | 16.0 | 3792 | 2.2513 | 0.7008 | 0.4638 |
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+ | 0.2474 | 17.0 | 4029 | 2.2991 | 0.7223 | 0.4609 |
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+ | 0.1648 | 18.0 | 4266 | 2.4582 | 0.7128 | 0.4614 |
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+ | 0.2112 | 19.0 | 4503 | 2.5944 | 0.7247 | 0.4714 |
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+ | 0.1185 | 20.0 | 4740 | 2.5292 | 0.7128 | 0.4557 |
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+ | 0.1453 | 21.0 | 4977 | 2.6173 | 0.7104 | 0.4466 |
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+ | 0.1126 | 22.0 | 5214 | 2.7072 | 0.7104 | 0.4461 |
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+ | 0.0872 | 23.0 | 5451 | 2.8997 | 0.7235 | 0.4577 |
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+ | 0.0768 | 24.0 | 5688 | 2.8199 | 0.7294 | 0.4623 |
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+ | 0.0643 | 25.0 | 5925 | 2.9228 | 0.7211 | 0.4587 |
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+ | 0.0828 | 26.0 | 6162 | 3.0185 | 0.7330 | 0.4774 |
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+ | 0.0407 | 27.0 | 6399 | 3.1037 | 0.7211 | 0.4586 |
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+ | 0.0386 | 28.0 | 6636 | 3.1938 | 0.7235 | 0.4622 |
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+ | 0.0321 | 29.0 | 6873 | 3.2786 | 0.7318 | 0.4612 |
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+ | 0.0189 | 30.0 | 7110 | 3.4453 | 0.7330 | 0.4559 |
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+ | 0.0223 | 31.0 | 7347 | 3.3558 | 0.7366 | 0.4583 |
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+ | 0.0255 | 32.0 | 7584 | 3.3787 | 0.7354 | 0.4682 |
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+ | 0.0123 | 33.0 | 7821 | 3.4288 | 0.7306 | 0.4633 |
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+ | 0.0128 | 34.0 | 8058 | 3.4361 | 0.7366 | 0.4645 |
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+ | 0.0201 | 35.0 | 8295 | 3.6213 | 0.7235 | 0.4559 |
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+ | 0.014 | 36.0 | 8532 | 3.7080 | 0.7247 | 0.4554 |
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+ | 0.0159 | 37.0 | 8769 | 3.6249 | 0.7330 | 0.4622 |
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+ | 0.027 | 38.0 | 9006 | 3.6598 | 0.7294 | 0.4604 |
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+ | 0.0086 | 39.0 | 9243 | 3.7176 | 0.7342 | 0.4637 |
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+ | 0.0096 | 40.0 | 9480 | 3.7223 | 0.7306 | 0.4614 |
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  ### Framework versions
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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emissions.csv CHANGED
@@ -1,2 +1,2 @@
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metrics.json CHANGED
@@ -1,9 +1,9 @@
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  "epoch": 40.0
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  }
 
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  "epoch": 40.0
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