# phishing-email-detection-distilbert_v2.4.1

Hugging Face: `cybersectony/phishing-email-detection-distilbert_v2.4.1`
Reconstructed from `config.json` alone. No weights were read.

| | |
|---|---|
| Derived from structure | 66,361,344 |
| In the published checkpoint | 66,956,548 (safetensors.total, 2024-10-28) |
| Delta | -0.89% |
| Comparability | comparable |
| Layers | 38 |
| Priced on | A10G (24GB) |
| Est. one run | $0.90 |

## Structure

| # | Layer | Type | Output shape |
|---|---|---|---|
| 1 | Input | Input | 1 × 512 |
| 2 | Embedding | Embedding | 1 × 512 × 768 |
| 3 | Positional_Embedding | Learned Pos Embed | 1 × 512 × 768 |
| 4 | LayerNorm_1_1 | LayerNorm | 1 × 512 × 768 |
| 5 | Attention_1 | Multi-Head Attention | 1 × 512 × 768 |
| 6 | Add_1_attn | Add | 1 × 512 × 768 |
| 7 | LayerNorm_1_2 | LayerNorm | 1 × 512 × 768 |
| 8 | FFN_1 | Feed Forward | 1 × 512 × 768 |
| 9 | Add_1_ffn | Add | 1 × 512 × 768 |
| 10 | LayerNorm_2_1 | LayerNorm | 1 × 512 × 768 |
| 11 | Attention_2 | Multi-Head Attention | 1 × 512 × 768 |
| 12 | Add_2_attn | Add | 1 × 512 × 768 |
| 13 | LayerNorm_2_2 | LayerNorm | 1 × 512 × 768 |
| 14 | FFN_2 | Feed Forward | 1 × 512 × 768 |
| 15 | Add_2_ffn | Add | 1 × 512 × 768 |
| 16 | LayerNorm_3_1 | LayerNorm | 1 × 512 × 768 |
| 17 | Attention_3 | Multi-Head Attention | 1 × 512 × 768 |
| 18 | Add_3_attn | Add | 1 × 512 × 768 |
| 19 | LayerNorm_3_2 | LayerNorm | 1 × 512 × 768 |
| 20 | FFN_3 | Feed Forward | 1 × 512 × 768 |
| 21 | Add_3_ffn | Add | 1 × 512 × 768 |
| 22 | LayerNorm_4_1 | LayerNorm | 1 × 512 × 768 |
| 23 | Attention_4 | Multi-Head Attention | 1 × 512 × 768 |
| 24 | Add_4_attn | Add | 1 × 512 × 768 |
| 25 | LayerNorm_4_2 | LayerNorm | 1 × 512 × 768 |
| 26 | FFN_4 | Feed Forward | 1 × 512 × 768 |
| 27 | Add_4_ffn | Add | 1 × 512 × 768 |
| 28 | LayerNorm_5_1 | LayerNorm | 1 × 512 × 768 |
| 29 | Attention_5 | Multi-Head Attention | 1 × 512 × 768 |
| 30 | Add_5_attn | Add | 1 × 512 × 768 |
| 31 | LayerNorm_5_2 | LayerNorm | 1 × 512 × 768 |
| 32 | FFN_5 | Feed Forward | 1 × 512 × 768 |
| 33 | Add_5_ffn | Add | 1 × 512 × 768 |
| 34 | LayerNorm_6_1 | LayerNorm | 1 × 512 × 768 |
| 35 | Attention_6 | Multi-Head Attention | 1 × 512 × 768 |
| 36 | Add_6_attn | Add | 1 × 512 × 768 |
| 37 | LayerNorm_6_2 | LayerNorm | 1 × 512 × 768 |
| 38 | FFN_6 | Feed Forward | 1 × 512 × 768 |
| 39 | Add_6_ffn | Add | 1 × 512 × 768 |
| 40 | Output | Output | 1 × 512 × 768 |

## Do this to your own model

```
pip install neurarch-trace
neurarch-trace cybersectony/phishing-email-detection-distilbert_v2.4.1 --plan --share
```

- Page: https://neurarch.com/m/phishing-email-detection-distilbert-v2-4-1.html
- All models: https://neurarch.com/m/index.json
- The checks: https://neurarch.com/r/index.json