whisper-small-np – AI Model by kiranpantha | AlphaNeural AI

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kiranpantha/
whisper-small-np

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automatic-speech-recognition

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openslr/openslr

openai/whisper-small

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Whisper Large Nepali - Kiran Pantha

This model is a fine-tuned version of openai/whisper-small on the OpenSLR54 dataset. It achieves the following results on the evaluation set:

Loss: 0.2112
Wer: 30.2546

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: 100
training_steps: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2615	0.5995	500	0.2454	47.2685
0.123	1.1990	1000	0.1994	39.3287
0.1145	1.7986	1500	0.1835	36.1574
0.0547	2.3981	2000	0.1813	33.7037
0.0506	2.9976	2500	0.1730	32.2454
0.0204	3.5971	3000	0.1911	32.2454
0.0079	4.1966	3500	0.2009	31.6667
0.0061	4.7962	4000	0.2022	30.0926
0.0022	5.3957	4500	0.2097	30.2546
0.0022	5.9952	5000	0.2112	30.2546

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1