Create README.md
Browse files
README.md
ADDED
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: mit
|
3 |
+
datasets:
|
4 |
+
- CooperW/jadidi
|
5 |
+
base_model:
|
6 |
+
- unsloth/gemma-2-27b-bnb-4bit
|
7 |
+
---
|
8 |
+
This model has been trained for binary classification of the TON-Iot Network dataset.
|
9 |
+
|
10 |
+
Refer to adapter_config.json for LoRa Parameters.
|
11 |
+
|
12 |
+
Key Training Params:
|
13 |
+
* Steps: 100
|
14 |
+
* Batch Size: 64
|
15 |
+
* Optimizer: Adam_8bit
|
16 |
+
* lr_schedular: cosine_with_restarts
|
17 |
+
* lr_scheduler_kwargs = { "num_cycles": len(trainer.get_train_dataloader()) / 100 }
|
18 |
+
|
19 |
+
The datasets are an 80/20 partition of the TON-Iot Network dataset.
|
20 |
+
|
21 |
+
Train Dataset:
|
22 |
+
* train_network.jsonl
|
23 |
+
|
24 |
+
Test Dataset:
|
25 |
+
* test_network.jsonl
|