readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - cynthiachan/FeedRef_10pct
  model-index:
  - name: training
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # training
  
  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the cynthiachan/FeedRef_10pct dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1291
  - Attackid Precision: 1.0
  - Attackid Recall: 1.0
  - Attackid F1: 1.0
  - Attackid Number: 6
  - Cve Precision: 0.8333
  - Cve Recall: 0.9091
  - Cve F1: 0.8696
  - Cve Number: 11
  - Defenderthreat Precision: 0.0
  - Defenderthreat Recall: 0.0
  - Defenderthreat F1: 0.0
  - Defenderthreat Number: 2
  - Domain Precision: 0.7826
  - Domain Recall: 0.7826
  - Domain F1: 0.7826
  - Domain Number: 23
  - Email Precision: 0.6667
  - Email Recall: 0.6667
  - Email F1: 0.6667
  - Email Number: 3
  - Filepath Precision: 0.6766
  - Filepath Recall: 0.8242
  - Filepath F1: 0.7432
  - Filepath Number: 165
  - Hostname Precision: 1.0
  - Hostname Recall: 0.9167
  - Hostname F1: 0.9565
  - Hostname Number: 12
  - Ipv4 Precision: 0.8333
  - Ipv4 Recall: 0.8333
  - Ipv4 F1: 0.8333
  - Ipv4 Number: 12
  - Md5 Precision: 0.7246
  - Md5 Recall: 0.9615
  - Md5 F1: 0.8264
  - Md5 Number: 52
  - Sha1 Precision: 0.0667
  - Sha1 Recall: 0.1429
  - Sha1 F1: 0.0909
  - Sha1 Number: 7
  - Sha256 Precision: 0.6780
  - Sha256 Recall: 0.9091
  - Sha256 F1: 0.7767
  - Sha256 Number: 44
  - Uri Precision: 0.0
  - Uri Recall: 0.0
  - Uri F1: 0.0
  - Uri Number: 1
  - Overall Precision: 0.6910
  - Overall Recall: 0.8402
  - Overall F1: 0.7583
  - Overall Accuracy: 0.9725
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Attackid Precision | Attackid Recall | Attackid F1 | Attackid Number | Cve Precision | Cve Recall | Cve F1 | Cve Number | Defenderthreat Precision | Defenderthreat Recall | Defenderthreat F1 | Defenderthreat Number | Domain Precision | Domain Recall | Domain F1 | Domain Number | Email Precision | Email Recall | Email F1 | Email Number | Filepath Precision | Filepath Recall | Filepath F1 | Filepath Number | Hostname Precision | Hostname Recall | Hostname F1 | Hostname Number | Ipv4 Precision | Ipv4 Recall | Ipv4 F1 | Ipv4 Number | Md5 Precision | Md5 Recall | Md5 F1 | Md5 Number | Sha1 Precision | Sha1 Recall | Sha1 F1 | Sha1 Number | Sha256 Precision | Sha256 Recall | Sha256 F1 | Sha256 Number | Uri Precision | Uri Recall | Uri F1 | Uri Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:------------------:|:---------------:|:-----------:|:---------------:|:-------------:|:----------:|:------:|:----------:|:------------------------:|:---------------------:|:-----------------:|:---------------------:|:----------------:|:-------------:|:---------:|:-------------:|:---------------:|:------------:|:--------:|:------------:|:------------------:|:---------------:|:-----------:|:---------------:|:------------------:|:---------------:|:-----------:|:---------------:|:--------------:|:-----------:|:-------:|:-----------:|:-------------:|:----------:|:------:|:----------:|:--------------:|:-----------:|:-------:|:-----------:|:----------------:|:-------------:|:---------:|:-------------:|:-------------:|:----------:|:------:|:----------:|:-----------------:|:--------------:|:----------:|:----------------:|
  | 0.3943        | 0.37  | 500  | 0.2881          | 0.0                | 0.0             | 0.0         | 6               | 0.0           | 0.0        | 0.0    | 11         | 0.0                      | 0.0                   | 0.0               | 2                     | 0.0              | 0.0           | 0.0       | 23            | 0.0             | 0.0          | 0.0      | 3            | 0.1138             | 0.2             | 0.1451      | 165             | 0.0692             | 0.9167          | 0.1287      | 12              | 0.4706         | 0.6667      | 0.5517  | 12          | 0.75          | 0.9231     | 0.8276 | 52         | 0.0            | 0.0         | 0.0     | 7           | 0.5694           | 0.9318        | 0.7069    | 44            | 0.0           | 0.0        | 0.0    | 1          | 0.2342            | 0.4172         | 0.3        | 0.9360           |
  | 0.1987        | 0.75  | 1000 | 0.1722          | 0.5                | 1.0             | 0.6667      | 6               | 1.0           | 1.0        | 1.0    | 11         | 0.0       