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--- |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: microsoft/codebert-base-mlm |
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model-index: |
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- name: malicious-package-classifier-bert-mal-only |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# malicious-package-classifier-bert-mal-only |
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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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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 140 |
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- eval_batch_size: 140 |
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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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- PEFT 0.10.0 |
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- Transformers 4.39.3 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
