model_from_berturk_1401_v4

This model is a fine-tuned version of Buseak/model_from_berturk_1401_v3 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0070
• Precision: 0.9983
• Recall: 0.9981
• F1: 0.9982
• Accuracy: 0.9985

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: 2e-05
• 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: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	244	0.1500	0.9425	0.9362	0.9393	0.9575
No log	2.0	488	0.1115	0.9570	0.9519	0.9544	0.9681
0.1776	3.0	732	0.0801	0.9700	0.9665	0.9683	0.9774
0.1776	4.0	976	0.0577	0.9792	0.9772	0.9782	0.9841
0.1024	5.0	1220	0.0490	0.9818	0.9809	0.9814	0.9866
0.1024	6.0	1464	0.0346	0.9882	0.9864	0.9873	0.9907
0.0901	7.0	1708	0.0254	0.9920	0.9910	0.9915	0.9935
0.0901	8.0	1952	0.0205	0.9935	0.9922	0.9928	0.9947
0.0617	9.0	2196	0.0157	0.9954	0.9947	0.9951	0.9963
0.0617	10.0	2440	0.0126	0.9965	0.9959	0.9962	0.9970
0.0438	11.0	2684	0.0110	0.9969	0.9965	0.9967	0.9975
0.0438	12.0	2928	0.0091	0.9976	0.9974	0.9975	0.9980
0.033	13.0	3172	0.0080	0.9979	0.9977	0.9978	0.9982
0.033	14.0	3416	0.0073	0.9982	0.9979	0.9981	0.9984
0.0264	15.0	3660	0.0070	0.9983	0.9981	0.9982	0.9985

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2