whisper-tiny-ft-kws-speech-commands – AI Model by JasHugF | AlphaNeural AI

You can deploy this model and start earning money today!

JasHugF/
whisper-tiny-ft-kws-speech-commands

like

0

audio-classification

generated_from_trainer

openai/whisper-tiny

endpoints_compatible

Views

No views yet

whisper-tiny-70-files

This model is a fine-tuned version of openai/whisper-tiny on the Speech Commands dataset. It achieves the following results on the evaluation set:

Loss: 0.4202
Accuracy: 0.8571

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: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
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
1.1433	1.0	28	1.0751	0.2857
1.0581	2.0	56	0.9757	0.5714
0.7216	3.0	84	0.7070	0.5714
0.6422	4.0	112	0.6288	0.8571
0.395	5.0	140	0.5260	0.8571
0.1961	6.0	168	0.3009	1.0
0.2295	7.0	196	0.4961	0.8571
0.1916	8.0	224	0.4109	0.8571
0.1889	9.0	252	0.4259	0.8571
0.1485	10.0	280	0.4202	0.8571

Framework versions

Transformers 4.48.0.dev0
Pytorch 2.2.2
Datasets 3.2.0
Tokenizers 0.21.0