whisper-base-cs-cv11-timestetch02-gain01-pitch02-gaussian02-lowpass01-timemask020-freqmask020 – AI Model by LadislavVasina1 | AlphaNeural AI

You can deploy this model and start earning money today!

LadislavVasina1/
whisper-base-cs-cv11-timestetch02-gain01-pitch02-gaussian02-lowpass01-timemask020-freqmask020

like

0

automatic-speech-recognition

generated_from_trainer

common_voice_11_0

openai/whisper-base

endpoints_compatible

Views

No views yet

whisper-base-cs-cv11-timestetch02-gain01-pitch02-gaussian02-lowpass01-timemask020-freqmask020

This model is a fine-tuned version of openai/whisper-base on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.3065
Wer: 31.6536

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: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 8000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.8775	0.72	1000	0.4722	45.7067
0.6983	1.44	2000	0.3854	38.8275
0.5251	2.17	3000	0.3505	35.8143
0.5001	2.89	4000	0.3291	33.8619
0.4956	3.61	5000	0.3192	33.0405
0.4256	4.33	6000	0.3110	32.4364
0.398	5.06	7000	0.3081	32.0588
0.3921	5.78	8000	0.3065	31.6536

Framework versions

Transformers 4.38.1
Pytorch 2.2.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2