model_train – AI Model by dfdgdgg | AlphaNeural AI

You can deploy this model and start earning money today!

dfdgdgg/
model_train

like

0

automatic-speech-recognition

endpoints_compatible

Views

No views yet

Whisper Medium fine_tunning Augmented

This model is a fine-tuned version of openai/whisper-medium on the following datasets:

[mozilla-foundation/common_voice_11_0]
[google/fleurs]
[vivos]

It achieves the following results on the evaluation set:

Loss: 0.3696
Wer: 16.6594
Cer: 7.7625

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 32
eval_batch_size: 16
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: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.1992	1.8	1000	0.2726	17.4929	8.2562
0.0402	3.6	2000	0.3317	17.4929	8.2588
0.0073	5.4	3000	0.3429	17.6793	8.8913
0.0014	7.19	4000	0.3599	19.0283	9.5103
0.0006	8.99	5000	0.3696	16.6594	7.7625