whisper-tiny-ASR_mini_project – AI Model by LightFury9 | AlphaNeural AI

You can deploy this model and start earning money today!

LightFury9/
whisper-tiny-ASR_mini_project

like

0

automatic-speech-recognition

generated_from_trainer

openai/whisper-tiny

endpoints_compatible

Views

No views yet

whisper_tiny-mini2

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: 0.1008
Wer: 5.5449

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: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.0118	1.49	100	1.8148	15.4876
0.3222	2.99	200	0.3016	8.0306
0.0315	4.48	300	0.1206	4.7801
0.0098	5.97	400	0.1097	4.7801
0.0025	7.46	500	0.1024	5.3537
0.0017	8.96	600	0.1044	5.1625
0.0011	10.45	700	0.1033	4.7801
0.001	11.94	800	0.1013	5.5449
0.0008	13.43	900	0.1009	5.3537
0.0008	14.93	1000	0.1008	5.5449

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0