whisper-base-cs-cv11-timestretch20-gain10-pitch20-gaussian20-lowpass10-timemask10-freqmask10 – AI Model by LadislavVasina1 | AlphaNeural AI

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LadislavVasina1/
whisper-base-cs-cv11-timestretch20-gain10-pitch20-gaussian20-lowpass10-timemask10-freqmask10

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automatic-speech-recognition

generated_from_trainer

common_voice_11_0

openai/whisper-base

endpoints_compatible

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whisper-base-cs-cv11-timestetch02-gain01-pitch02-gaussian02-lowpass01-timemask010-freqmask010

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: 0.3005
Wer: 30.8248

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
0.667	0.72	1000	0.4497	43.9367
0.506	1.44	2000	0.3698	37.1238
0.3637	2.17	3000	0.3355	34.1069
0.3686	2.89	4000	0.3198	32.7955
0.328	3.61	5000	0.3115	32.0938
0.2825	4.33	6000	0.3047	31.4086
0.2424	5.06	7000	0.3009	30.9555
0.2586	5.78	8000	0.3005	30.8248

Framework versions

Transformers 4.38.1
Pytorch 2.2.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2