metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: codebert-base-mlm-Malicious_URLs
results: []
codebert-base-mlm-Malicious_URLs
This model is a fine-tuned version of microsoft/codebert-base-mlm on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7442
- Accuracy: 0.7322
- Weighted f1: 0.6538
- Micro f1: 0.7322
- Macro f1: 0.4303
- Weighted recall: 0.7322
- Micro recall: 0.7322
- Macro recall: 0.4233
- Weighted precision: 0.6314
- Micro precision: 0.7322
- Macro precision: 0.6034
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3