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

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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: 0.4866
Wer Ortho: 0.3356
Wer: 0.3341

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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 5
training_steps: 50
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
3.8369	0.36	5	2.6069	0.5200	0.4044
1.9739	0.71	10	1.0073	0.4411	0.4026
0.728	1.07	15	0.6096	0.3948	0.3902
0.3929	1.43	20	0.5288	0.4503	0.4486
0.4044	1.79	25	0.4995	0.3430	0.3430
0.311	2.14	30	0.4772	0.3701	0.3701
0.2404	2.5	35	0.4738	0.3134	0.3135
0.1688	2.86	40	0.4700	0.3257	0.3253
0.1278	3.21	45	0.4748	0.3183	0.3164
0.0775	3.57	50	0.4866	0.3356	0.3341

Framework versions

Transformers 4.36.2
Pytorch 2.0.0
Datasets 2.15.0
Tokenizers 0.15.0