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malicious-package-classifier-bert-mal-only

PEFT
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Safetensors
roberta
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  1. README.md +107 -6
  2. adapter_model.safetensors +1 -1
  3. logs/events.out.tfevents.1717275327.llms-a100.307471.4 +2 -2
  4. logs/events.out.tfevents.1717282692.llms-a100.307471.5 +3 -0
README.md CHANGED
@@ -15,12 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.0000
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- - eval_runtime: 2.4483
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- - eval_samples_per_second: 137.648
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- - eval_steps_per_second: 1.225
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- - epoch: 77.1
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- - step: 3238
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  ## Model description
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@@ -47,6 +42,112 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - num_epochs: 100
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  ### Framework versions
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  - PEFT 0.10.0
 
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  This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0000
 
 
 
 
 
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  ## Model description
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  - lr_scheduler_type: linear
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  - num_epochs: 100
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 42 | 0.0129 |
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+ | No log | 2.0 | 84 | 0.0016 |
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+ | No log | 3.0 | 126 | 0.0007 |
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+ | No log | 4.0 | 168 | 0.0005 |
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+ | No log | 5.0 | 210 | 0.0003 |
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+ | No log | 6.0 | 252 | 0.0003 |
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+ | No log | 7.0 | 294 | 0.0002 |
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+ | No log | 8.0 | 336 | 0.0002 |
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+ | No log | 9.0 | 378 | 0.0002 |
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+ | No log | 10.0 | 420 | 0.0002 |
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+ | No log | 11.0 | 462 | 0.0001 |
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+ | 0.0134 | 12.0 | 504 | 0.0001 |
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+ | 0.0134 | 13.0 | 546 | 0.0001 |
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+ | 0.0134 | 14.0 | 588 | 0.0001 |
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+ | 0.0134 | 15.0 | 630 | 0.0001 |
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+ | 0.0134 | 16.0 | 672 | 0.0001 |
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+ | 0.0134 | 17.0 | 714 | 0.0001 |
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+ | 0.0134 | 18.0 | 756 | 0.0001 |
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+ | 0.0134 | 19.0 | 798 | 0.0001 |
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+ | 0.0134 | 20.0 | 840 | 0.0001 |
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+ | 0.0134 | 21.0 | 882 | 0.0001 |
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+ | 0.0134 | 22.0 | 924 | 0.0001 |
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+ | 0.0134 | 23.0 | 966 | 0.0001 |
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+ | 0.0 | 24.0 | 1008 | 0.0001 |
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+ | 0.0 | 25.0 | 1050 | 0.0001 |
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+ | 0.0 | 26.0 | 1092 | 0.0001 |
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+ | 0.0 | 27.0 | 1134 | 0.0001 |
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+ | 0.0 | 28.0 | 1176 | 0.0001 |
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+ | 0.0 | 29.0 | 1218 | 0.0001 |
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+ | 0.0 | 30.0 | 1260 | 0.0001 |
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+ | 0.0 | 31.0 | 1302 | 0.0001 |
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+ | 0.0 | 32.0 | 1344 | 0.0000 |
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+ | 0.0 | 33.0 | 1386 | 0.0000 |
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+ | 0.0 | 34.0 | 1428 | 0.0000 |
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+ | 0.0 | 35.0 | 1470 | 0.0000 |
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+ | 0.0 | 36.0 | 1512 | 0.0000 |
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+ | 0.0 | 37.0 | 1554 | 0.0000 |
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+ | 0.0 | 38.0 | 1596 | 0.0000 |
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+ | 0.0 | 39.0 | 1638 | 0.0000 |
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+ | 0.0 | 40.0 | 1680 | 0.0000 |
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+ | 0.0 | 41.0 | 1722 | 0.0000 |
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+ | 0.0 | 42.0 | 1764 | 0.0000 |
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+ | 0.0 | 43.0 | 1806 | 0.0000 |
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+ | 0.0 | 44.0 | 1848 | 0.0000 |
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+ | 0.0 | 45.0 | 1890 | 0.0000 |
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+ | 0.0 | 46.0 | 1932 | 0.0000 |
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+ | 0.0 | 47.0 | 1974 | 0.0000 |
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+ | 0.0 | 48.0 | 2016 | 0.0000 |
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+ | 0.0 | 49.0 | 2058 | 0.0000 |
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+ | 0.0 | 50.0 | 2100 | 0.0000 |
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+ | 0.0 | 51.0 | 2142 | 0.0000 |
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+ | 0.0 | 52.0 | 2184 | 0.0000 |
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+ | 0.0 | 53.0 | 2226 | 0.0000 |
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+ | 0.0 | 54.0 | 2268 | 0.0000 |
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+ | 0.0 | 55.0 | 2310 | 0.0000 |
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+ | 0.0 | 56.0 | 2352 | 0.0000 |
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+ | 0.0 | 57.0 | 2394 | 0.0000 |
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+ | 0.0 | 58.0 | 2436 | 0.0000 |
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+ | 0.0 | 59.0 | 2478 | 0.0000 |
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+ | 0.0 | 60.0 | 2520 | 0.0000 |
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+ | 0.0 | 61.0 | 2562 | 0.0000 |
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+ | 0.0 | 62.0 | 2604 | 0.0000 |
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+ | 0.0 | 63.0 | 2646 | 0.0000 |
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+ | 0.0 | 64.0 | 2688 | 0.0000 |
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+ | 0.0 | 65.0 | 2730 | 0.0000 |
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+ | 0.0 | 66.0 | 2772 | 0.0000 |
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+ | 0.0 | 67.0 | 2814 | 0.0000 |
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+ | 0.0 | 68.0 | 2856 | 0.0000 |
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+ | 0.0 | 69.0 | 2898 | 0.0000 |
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+ | 0.0 | 70.0 | 2940 | 0.0000 |
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+ | 0.0 | 71.0 | 2982 | 0.0000 |
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+ | 0.0 | 72.0 | 3024 | 0.0000 |
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+ | 0.0 | 73.0 | 3066 | 0.0000 |
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+ | 0.0 | 74.0 | 3108 | 0.0000 |
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+ | 0.0 | 75.0 | 3150 | 0.0000 |
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+ | 0.0 | 76.0 | 3192 | 0.0000 |
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+ | 0.0 | 77.0 | 3234 | 0.0000 |
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+ | 0.0 | 78.0 | 3276 | 0.0000 |
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+ | 0.0 | 79.0 | 3318 | 0.0000 |
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+ | 0.0 | 80.0 | 3360 | 0.0000 |
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+ | 0.0 | 81.0 | 3402 | 0.0000 |
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+ | 0.0 | 82.0 | 3444 | 0.0000 |
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+ | 0.0 | 83.0 | 3486 | 0.0000 |
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+ | 0.0 | 84.0 | 3528 | 0.0000 |
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+ | 0.0 | 85.0 | 3570 | 0.0000 |
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+ | 0.0 | 86.0 | 3612 | 0.0000 |
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+ | 0.0 | 87.0 | 3654 | 0.0000 |
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+ | 0.0 | 88.0 | 3696 | 0.0000 |
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+ | 0.0 | 89.0 | 3738 | 0.0000 |
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+ | 0.0 | 90.0 | 3780 | 0.0000 |
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+ | 0.0 | 91.0 | 3822 | 0.0000 |
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+ | 0.0 | 92.0 | 3864 | 0.0000 |
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+ | 0.0 | 93.0 | 3906 | 0.0000 |
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+ | 0.0 | 94.0 | 3948 | 0.0000 |
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+ | 0.0 | 95.0 | 3990 | 0.0000 |
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+ | 0.0 | 96.0 | 4032 | 0.0000 |
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+ | 0.0 | 97.0 | 4074 | 0.0000 |
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+ | 0.0 | 98.0 | 4116 | 0.0000 |
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+ | 0.0 | 99.0 | 4158 | 0.0000 |
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+ | 0.0 | 100.0 | 4200 | 0.0000 |
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+
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+
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  ### Framework versions
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  - PEFT 0.10.0
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