whisper-small-ar-AASR163762Diacs

MohammedNasri/whisper-small-ar-AASR163762Diacs

whisper-small-ar-AASR163762Diacs is a automatic speech recognition model from MohammedNasri. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: whisper
Access: Public
Created: Mar 15, 2023
Updated: Mar 16, 2023
SHA: f0807f0e

Datasets

mozilla-foundation/common_voice_11_0

Model card

From the Hugging Face model README

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: 0.2667
Wer: 39.3022

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: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2262	0.05	1000	0.3206	42.6903
0.2	0.1	2000	0.3067	42.8354
0.1944	0.16	3000	0.2863	40.6648
0.1785	0.21	4000	0.2736	39.4675
0.1641	0.26	5000	0.2667	39.3022

Framework versions

Transformers 4.28.0.dev0
Pytorch 1.12.1
Datasets 2.10.1
Tokenizers 0.13.2

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Languages: ar
Created: Mar 15, 2023
Updated: Mar 16, 2023