whisper-tiny-wd-1k-v1 – AI Model by devkyle | AlphaNeural AI

You can deploy this model and start earning money today!

devkyle/
whisper-tiny-wd-1k-v1

like

0

automatic-speech-recognition

generated_from_trainer

openai/whisper-tiny

endpoints_compatible

Views

No views yet

whisper-tiny-akan

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

Loss: 1.0839
Wer: 47.4674

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: 0.0001
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: 500
training_steps: 2000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.4022	5.0	250	0.7692	58.4660
0.1035	10.0	500	0.8971	57.0912
0.0421	15.0	750	0.9763	51.6064
0.0213	20.0	1000	1.0427	50.8828
0.0091	25.0	1250	1.0521	50.2026
0.0018	30.0	1500	1.0755	48.0897
0.0004	35.0	1750	1.0794	47.9305
0.0004	40.0	2000	1.0839	47.4674

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 3.0.0
Tokenizers 0.19.1