whisper-base.en-speech-commands-h – AI Model by gokuls | AlphaNeural AI

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gokuls/
whisper-base.en-speech-commands-h

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speech_commands

openai/whisper-base.en

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whisper-base.en-speech-commands-h

This model is a fine-tuned version of openai/whisper-base.en on the speech_commands dataset. It achieves the following results on the evaluation set:

Loss: 1.3313
Accuracy: 0.7923

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: 0.0005
train_batch_size: 96
eval_batch_size: 96
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3859	1.0	412	1.3474	0.7707
0.2732	2.0	824	1.2471	0.7599
0.2373	3.0	1236	1.2114	0.7729
0.1694	4.0	1648	1.1600	0.7914
0.1495	5.0	2060	1.1535	0.7914
0.1931	6.0	2472	1.1446	0.7860
0.1329	7.0	2884	1.3313	0.7923
0.0731	8.0	3296	1.2812	0.7860
0.0702	9.0	3708	1.2134	0.7873
0.0828	10.0	4120	1.6292	0.7887
0.08	11.0	4532	1.4677	0.7797
0.0481	12.0	4944	1.3770	0.7909

Framework versions

Transformers 4.43.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.19.1