whisper-small-AR – AI Model by MohammedNasri | AlphaNeural AI

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MohammedNasri/
whisper-small-AR

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automatic-speech-recognition

hf-asr-leaderboard

generated_from_trainer

mozilla-foundation/common_voice_11_0

endpoints_compatible

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Whisper Small ar - Mohammed Nasri

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.1945
Wer: 17.3068

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 6000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0669	0.05	1000	0.2389	21.1529
0.0532	0.1	2000	0.2350	20.0492
0.0647	0.16	3000	0.2214	19.3772
0.096	0.21	4000	0.2139	18.7315
0.0802	0.26	5000	0.2038	17.8567
0.1331	0.31	6000	0.1945	17.3068

Framework versions

Transformers 4.28.0.dev0
Pytorch 1.12.1
Datasets 2.10.1
Tokenizers 0.13.2