metadata
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/codebert-base-mlm
model-index:
- name: malicious-package-classifier-bert-weighted-balanced
results: []
malicious-package-classifier-bert-weighted-balanced
This model is a fine-tuned version of microsoft/codebert-base-mlm on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0285
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 140
- eval_batch_size: 140
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0203 | 1.0 | 24728 | 0.0412 |
| 0.0302 | 2.0 | 49456 | 0.0285 |
| 0.0197 | 3.0 | 74184 | 0.0290 |
| 0.012 | 4.0 | 98912 | 0.0345 |
| 0.0147 | 5.0 | 123640 | 0.0408 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2