whisper-tiny-finetuned – AI Model by tkwon4 | AlphaNeural AI

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tkwon4/
whisper-tiny-finetuned

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automatic-speech-recognition

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openai/whisper-tiny

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whisper-tiny-finetuned

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

Loss: 1.5359
Wer: 48.6486

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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.9826	1.0	11	2.8724	54.0541
0.8482	2.0	22	1.9324	37.8378
0.4008	3.0	33	1.7430	45.9459
0.4367	4.0	44	1.7012	45.9459
0.9616	5.0	55	1.6537	48.6486
0.3942	6.0	66	1.6031	48.6486
0.8475	7.0	77	1.5731	48.6486
0.3575	8.0	88	1.5529	48.6486
0.3796	9.0	99	1.5398	48.6486
0.2843	10.0	110	1.5359	48.6486

Framework versions

Transformers 4.38.2
Pytorch 2.2.0+cu118
Datasets 2.18.0
Tokenizers 0.15.1