You can deploy this model and start earning money today!

DanskScanning/
Test-Model

Views

No views yet

Test-Model

This model is a fine-tuned version of meta-llama/Llama-3.1-8B, and is specialized for document classification. It achieves the following results on the evaluation set:

Accuracy: 0.924647
Hit rate: 0.977464

Training Parameters

Epochs: 5
Batch Size: 20
Threshold: 0.975
Token Length: 512
Data Set Size: 10000
Evenly Distributed: True
Municipalities: Heroey, Kongsberg, Boemlo, Luster, Maalselv
Learning Rate: 0.0001
Weight Decay: 0.01
Eval Accumulation Steps: 4

Evaluation Results

Label	Accuracy	Accuracy Accumulation	Hit Rate	Hit Rate Accumulation
0	0.93	0.93	0.98	0.98
1	0.95	0.95	0.97	0.97
2	0.91	0.91	0.98	0.98
3	0.40	0.40	0.57	0.57
4	0.25	0.25	0.63	0.63
5	0.86	0.86	0.94	0.94
6	0.99	0.99	1.04	1.04
7	0.94	0.94	0.98	0.98
8	0.67	0.67	0.86	0.86
9	0.99	0.99	0.99	0.99

DanskScanning/Test-Model

Test-Model

Training Parameters

Evaluation Results

DanskScanning/
Test-Model