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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-weighted-balanced |
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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-weighted-balanced |
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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: 0.0285 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:------:|:---------------:| |
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| 0.0203 | 1.0 | 24728 | 0.0412 | |
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| 0.0302 | 2.0 | 49456 | 0.0285 | |
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| 0.0197 | 3.0 | 74184 | 0.0290 | |
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| 0.012 | 4.0 | 98912 | 0.0345 | |
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| 0.0147 | 5.0 | 123640 | 0.0408 | |
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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 |
