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malicious-package-classifier-bert-mal-only

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End of training

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  1. README.md +5 -34
  2. adapter_model.safetensors +1 -1
  3. logs/events.out.tfevents.1717318151.llms-a100.332532.1 +2 -2
  4. logs/events.out.tfevents.1717318438.llms-a100.332532.2 +3 -0
README.md CHANGED
@@ -15,7 +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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- - Loss: 0.0000
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  ## Model description
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@@ -40,44 +40,15 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 32
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  ### Training results
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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 | 0.0014 |
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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 | 0.0001 |
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- | No log | 10.0 | 420 | 0.0001 |
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- | No log | 11.0 | 462 | 0.0001 |
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- | 0.0161 | 12.0 | 504 | 0.0001 |
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- | 0.0161 | 13.0 | 546 | 0.0001 |
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- | 0.0161 | 14.0 | 588 | 0.0001 |
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- | 0.0161 | 15.0 | 630 | 0.0001 |
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- | 0.0161 | 16.0 | 672 | 0.0001 |
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- | 0.0161 | 17.0 | 714 | 0.0001 |
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- | 0.0161 | 18.0 | 756 | 0.0001 |
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- | 0.0161 | 19.0 | 798 | 0.0000 |
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- | 0.0161 | 20.0 | 840 | 0.0000 |
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- | 0.0161 | 21.0 | 882 | 0.0000 |
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- | 0.0161 | 22.0 | 924 | 0.0000 |
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- | 0.0161 | 23.0 | 966 | 0.0000 |
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- | 0.0 | 24.0 | 1008 | 0.0000 |
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- | 0.0 | 25.0 | 1050 | 0.0000 |
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- | 0.0 | 26.0 | 1092 | 0.0000 |
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- | 0.0 | 27.0 | 1134 | 0.0000 |
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- | 0.0 | 28.0 | 1176 | 0.0000 |
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- | 0.0 | 29.0 | 1218 | 0.0000 |
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- | 0.0 | 30.0 | 1260 | 0.0000 |
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- | 0.0 | 31.0 | 1302 | 0.0000 |
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- | 0.0 | 32.0 | 1344 | 0.0000 |
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  ### Framework versions
 
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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: 0.0026
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 42 | 0.0104 |
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+ | No log | 2.0 | 84 | 0.0034 |
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+ | No log | 3.0 | 126 | 0.0026 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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