whisper-tiny-minds14-en-US – AI Model by MechaBunny19c | AlphaNeural AI

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MechaBunny19c/
whisper-tiny-minds14-en-US

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automatic-speech-recognition

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openai/whisper-tiny

endpoints_compatible

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whisper-tiny-minds14-en-US

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: 0.4924
Wer Ortho: 0.3085
Wer: 0.3087

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: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
No log	1.0	4	3.6562	0.5416	0.4014
No log	2.0	8	2.3152	0.5170	0.4103
No log	3.0	12	1.1184	0.4201	0.3949
No log	4.0	16	0.5754	0.3979	0.3949
No log	5.0	20	0.5133	0.3812	0.3813
No log	6.0	24	0.4916	0.3455	0.3459
1.5902	7.0	28	0.4872	0.3504	0.3501
1.5902	8.0	32	0.4887	0.3325	0.3323
1.5902	9.0	36	0.4907	0.3146	0.3152
1.5902	10.0	40	0.4924	0.3085	0.3087

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 3.0.0
Tokenizers 0.19.1