whisper-tiny-minds14-enUS – AI Model by trung06042002 | AlphaNeural AI

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trung06042002/
whisper-tiny-minds14-enUS

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automatic-speech-recognition

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openai/whisper-tiny

endpoints_compatible

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whisper-tiny-minds14-enUS

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: 0.5994
Wer Ortho: 0.3442
Wer: 0.3259

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: 16
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: constant_with_warmup
lr_scheduler_warmup_steps: 50
num_epochs: 6
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
4.031	1.0	29	1.9957	0.5046	0.4008
1.2941	2.0	58	0.6461	0.3942	0.3743
0.5112	3.0	87	0.5742	0.3658	0.3394
0.3321	4.0	116	0.5651	0.3701	0.3477
0.2241	5.0	145	0.5793	0.3547	0.3341
0.1466	6.0	174	0.5994	0.3442	0.3259

Framework versions

Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.1.1
Tokenizers 0.22.0