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luluw/
whisper-tiny

Name: whisper-tiny
Availability: InStock

automatic-speech-recognition

generated_from_trainer

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Whisper Tiny

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

Loss: 0.3751
Wer: 0.1311

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.5941	1.0	293	0.4660	0.2291
0.2868	2.0	586	0.4858	0.2960
0.1692	3.0	879	0.4274	0.2219
0.0971	4.0	1172	0.4568	0.2014
0.0562	5.0	1465	0.4665	0.1820
0.0291	6.0	1758	0.4346	0.1801
0.0124	7.0	2051	0.3950	0.1456
0.0024	8.0	2344	0.3777	0.1359
0.0006	9.0	2637	0.3756	0.1323
0.0002	10.0	2930	0.3751	0.1311

Framework versions

Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0

luluw/whisper-tiny

Whisper Tiny

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

luluw/
whisper-tiny