vowelizer_1203_v4

This model is a fine-tuned version of Buseak/vowelizer_1203_v3 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0000
• Precision: 1.0
• Recall: 1.0
• F1: 1.0
• Accuracy: 1.0

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0027	1.0	967	0.0008	0.9995	0.9996	0.9995	0.9998
0.0037	2.0	1934	0.0007	0.9995	0.9995	0.9995	0.9998
0.0034	3.0	2901	0.0005	0.9996	0.9997	0.9996	0.9998
0.0032	4.0	3868	0.0005	0.9995	0.9997	0.9996	0.9998
0.0029	5.0	4835	0.0004	0.9997	0.9998	0.9998	0.9999
0.0027	6.0	5802	0.0003	0.9997	0.9998	0.9998	0.9999
0.0025	7.0	6769	0.0002	0.9998	0.9999	0.9998	0.9999
0.0022	8.0	7736	0.0002	0.9999	0.9999	0.9999	1.0000
0.0021	9.0	8703	0.0001	0.9999	0.9999	0.9999	1.0000
0.002	10.0	9670	0.0001	0.9999	0.9999	0.9999	1.0000
0.0017	11.0	10637	0.0001	0.9999	1.0000	0.9999	1.0000
0.0016	12.0	11604	0.0001	0.9999	1.0000	0.9999	1.0000
0.0013	13.0	12571	0.0000	1.0000	1.0000	1.0000	1.0000
0.0012	14.0	13538	0.0000	1.0000	1.0000	1.0000	1.0000
0.0011	15.0	14505	0.0000	1.0000	1.0000	1.0000	1.0000
0.0009	16.0	15472	0.0000	1.0000	1.0000	1.0000	1.0000
0.0008	17.0	16439	0.0000	1.0	1.0	1.0	1.0000
0.0007	18.0	17406	0.0000	1.0	1.0	1.0	1.0000
0.0008	19.0	18373	0.0000	1.0	1.0	1.0	1.0
0.0009	20.0	19340	0.0000	1.0	1.0	1.0	1.0

Framework versions

• Transformers 4.28.0
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.13.3