audio_cls_ksh2

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

• Loss: 0.3313
• Accuracy: 0.9412

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	15	0.9104	0.8235
No log	2.0	30	0.6809	0.8739
No log	3.0	45	0.5592	0.9076
No log	4.0	60	0.4562	0.9244
No log	5.0	75	0.4140	0.9076
No log	6.0	90	0.3570	0.9328
No log	7.0	105	0.3210	0.9328
No log	8.0	120	0.3647	0.9160
No log	9.0	135	0.3283	0.9328
No log	10.0	150	0.3313	0.9412

Framework versions

• Transformers 5.18.0
• Pytorch 2.11.0+cu130
• Datasets 4.8.5
• Tokenizers 0.23.2