my_Second_model

This model was trained from scratch on the audiofolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.0040
• 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: 3e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3146	1.0	11	0.7419	0.5714
0.2671	2.0	22	0.1500	1.0
0.275	3.0	33	0.0553	1.0
0.0526	4.0	44	0.0304	1.0
0.0237	5.0	55	0.0196	1.0
0.0187	6.0	66	0.0138	1.0
0.0144	7.0	77	0.0105	1.0
0.0117	8.0	88	0.0086	1.0
0.0099	9.0	99	0.0073	1.0
0.0073	10.0	110	0.0063	1.0
0.0073	11.0	121	0.0057	1.0
0.0066	12.0	132	0.0052	1.0
0.0062	13.0	143	0.0048	1.0
0.0058	14.0	154	0.0045	1.0
0.0049	15.0	165	0.0043	1.0
0.0052	16.0	176	0.0041	1.0
0.0051	17.0	187	0.0040	1.0
0.005	18.0	198	0.0040	1.0
0.0045	18.1905	200	0.0040	1.0

Framework versions

• Transformers 4.50.3
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1