model.no1_expe.dia.1.A_ft.data_ESLO.06.05.25_rft.dataset_v3_CAENNAIS_06.05.25 – AI Model by Rziane | AlphaNeural AI

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Rziane/
model.no1_expe.dia.1.A_ft.data_ESLO.06.05.25_rft.dataset_v3_CAENNAIS_06.05.25

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Rziane/model.no1_expe.dia.1.A_data_ESLO_06.05.25

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model.no1_expe.dia.1.A_ft.data_ESLO.06.05.25_rft.dataset_v3_CAENNAIS_06.05.25

This model is a fine-tuned version of Rziane/model.no1_expe.dia.1.A_data_ESLO_06.05.25 on the CAENNAIS dataset. It achieves the following results on the evaluation set:

Loss: 0.6228
Model Preparation Time: 0.004
Der: 0.2723
False Alarm: 0.0983
Missed Detection: 0.0775
Confusion: 0.0964

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: 0.001
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Der	False Alarm	Missed Detection	Confusion
0.7528	1.0	61	0.6355	0.004	0.2736	0.0937	0.0881	0.0918
0.6981	2.0	122	0.6235	0.004	0.2735	0.0872	0.0933	0.0930
0.6538	3.0	183	0.6798	0.004	0.2993	0.1063	0.0745	0.1184
0.6156	4.0	244	0.6364	0.004	0.2777	0.0958	0.0837	0.0982
0.6191	5.0	305	0.6147	0.004	0.2693	0.0998	0.0769	0.0926
0.5888	6.0	366	0.6254	0.004	0.2756	0.0937	0.0811	0.1008
0.5767	7.0	427	0.6367	0.004	0.2775	0.0977	0.0789	0.1009
0.5547	8.0	488	0.6229	0.004	0.2712	0.1004	0.0742	0.0966
0.5412	9.0	549	0.6220	0.004	0.2724	0.0980	0.0788	0.0957
0.5416	10.0	610	0.6228	0.004	0.2723	0.0983	0.0775	0.0964

Framework versions

Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0