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nurzhanit/
whisper-omg-2.5

Name: whisper-omg-2.5
Availability: InStock

generated_from_trainer

mozilla-foundation/common_voice_11_0

nurzhanit/whisper-enhanced-ml

finetune

model-index

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Whisper Small Hi - Sanchit Gandhi

This model is a fine-tuned version of nurzhanit/whisper-enhanced-ml on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.0005
Wer: 0.0516

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 25
training_steps: 500
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0929	1.0	50	0.0404	8.1114
0.0385	2.0	100	0.0161	3.0761
0.0176	3.0	150	0.0081	1.4779
0.0087	4.0	200	0.0034	0.6358
0.0038	5.0	250	0.0020	0.4296
0.0025	6.0	300	0.0011	0.1203
0.0017	7.0	350	0.0008	0.0516
0.0009	8.0	400	0.0006	0.0516
0.0007	9.0	450	0.0006	0.0516
0.0007	10.0	500	0.0005	0.0516

Framework versions

Transformers 4.40.0
Pytorch 2.5.0+cu124
Datasets 3.0.2
Tokenizers 0.19.1

nurzhanit/whisper-omg-2.5

Whisper Small Hi - Sanchit Gandhi

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

nurzhanit/
whisper-omg-2.5