whisper-tiny-minds14 – AI Model by zikangzheng | AlphaNeural AI

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zikangzheng/
whisper-tiny-minds14

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automatic-speech-recognition

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openai/whisper-tiny

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whisper-tiny-minds14

This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:

Loss: 0.4687
Wer: 0.3483
Wer Ortho: 0.3609

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: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Wer Ortho
3.2197	1.0	29	2.3350	0.3973	0.5231
1.8109	2.0	58	0.6575	0.3796	0.4170
0.6252	3.0	87	0.4859	0.3583	0.3720
0.3612	4.0	116	0.4680	0.3613	0.3726
0.2543	5.0	145	0.4687	0.3483	0.3609

Framework versions

Transformers 4.57.0
Pytorch 2.8.0+cu126
Datasets 4.1.1
Tokenizers 0.22.1