Whisper-Sudanese-Dialect-large-v2-10K – AI Model by AymanMansour | AlphaNeural AI

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AymanMansour/
Whisper-Sudanese-Dialect-large-v2-10K

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openai/whisper-large-v2

This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.0925
Wer: 41.4086

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: 8
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 10000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.5216	1.04	1000	0.7054	58.7611
0.0872	3.02	2000	0.7803	60.1400
0.1073	4.06	3000	0.8312	61.0522
0.0617	6.04	4000	0.8583	48.2181
0.0053	8.02	5000	0.9135	41.8328
0.0049	9.06	6000	0.9697	43.3814
0.0044	11.04	7000	0.9863	41.9813
0.0006	13.02	8000	1.0359	42.7662
0.0019	14.06	9000	1.0714	41.3449
0.0007	16.04	10000	1.0925	41.4086

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2