whisper-tiny-polyai-enUS_lower_lr – AI Model by mitro99 | AlphaNeural AI

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mitro99/
whisper-tiny-polyai-enUS_lower_lr

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automatic-speech-recognition

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openai/whisper-tiny

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whisper-tiny-polyai-enUS_lower_lr

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: 0.7730
Wer Ortho: 0.4022
Wer: 0.3849

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: 5e-06
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_ratio: 0.1
training_steps: 500
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
2.9571	3.33	50	1.9622	0.5077	0.4050
0.5131	6.67	100	0.6540	0.4152	0.3684
0.2572	10.0	150	0.6091	0.3874	0.3524
0.0974	13.33	200	0.6316	0.3745	0.3442
0.0405	16.67	250	0.6686	0.3917	0.3577
0.0116	20.0	300	0.7097	0.4028	0.3766
0.0049	23.33	350	0.7341	0.3954	0.3743
0.0032	26.67	400	0.7510	0.4065	0.3884
0.0023	30.0	450	0.7607	0.3967	0.3778
0.0018	33.33	500	0.7730	0.4022	0.3849

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0