audio_classification – AI Model by yudy74 | AlphaNeural AI

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yudy74/
audio_classification

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audio-classification

generated_from_trainer

facebook/wav2vec2-base

endpoints_compatible

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audio_classification

This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset. It achieves the following results on the evaluation set:

Loss: 2.6524
Accuracy: 0.0442

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	4	2.6369	0.0708
No log	2.0	8	2.6405	0.0265
2.5051	3.0	12	2.6432	0.0531
2.5051	4.0	16	2.6492	0.0531
2.4277	5.0	20	2.6467	0.0354
2.4277	6.0	24	2.6445	0.0442
2.4277	7.0	28	2.6463	0.0531
2.4877	8.0	32	2.6495	0.0442
2.4877	9.0	36	2.6505	0.0531
2.4143	10.0	40	2.6524	0.0442

Framework versions

Transformers 4.52.4
Pytorch 2.7.1+cpu
Datasets 3.6.0
Tokenizers 0.21.1