whisper-small-ar-Noise2

MohammedNasri/whisper-small-ar-Noise2

whisper-small-ar-Noise2 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: Apr 28, 2023
Updated: Apr 28, 2023
SHA: fdbba626

Model card

From the Hugging Face model README

whisper-small-ar-Noise2

This model is a fine-tuned version of MohammedNasri/whisper-small-ar-Noise on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2544
Wer: 20.9167

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
0.0283	0.21	1000	0.3144	23.5388
0.0543	0.42	2000	0.2991	22.7861
0.083	0.62	3000	0.2827	23.0508
0.087	0.83	4000	0.2611	21.3127
0.0223	1.04	5000	0.2544	20.9167

Framework versions

Transformers 4.27.4
Pytorch 1.13.0
Datasets 2.11.0
Tokenizers 0.13.2

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Created: Apr 28, 2023
Updated: Apr 28, 2023