muaalem-model-v0

nour-world/muaalem-model-v0

muaalem-model-v0 is a machine learning model from nour-world. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Library: transformers
License: mit
Model type: multi_level_ctc
Access: Public
Created: Sep 15, 2026
Updated: Sep 15, 2026
SHA: 40bf66c6

Base models

facebook/w2v-bert-2.0

Model card

From the Hugging Face model README

muaalem-model-v0

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the None dataset. It achieves the following results on the evaluation set:

Average Per: 0.0057
Loss: 0.0092
Per Ghonna: 0.0012
Per Hams Or Jahr: 0.0013
Per Istitala: 0.0008
Per Itbaq: 0.0009
Per Phonemes: 0.0027
Per Qalqla: 0.0036
Per Safeer: 0.0010
Per Shidda Or Rakhawa: 0.0457
Per Tafashie: 0.0008
Per Tafkheem Or Taqeeq: 0.0014
Per Tikraar: 0.0035

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: 5e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.2
num_epochs: 1

Training results

Training Loss	Epoch	Step	Average Per	Validation Loss	Per Ghonna	Per Hams Or Jahr	Per Istitala	Per Itbaq	Per Phonemes	Per Qalqla	Per Safeer	Per Shidda Or Rakhawa	Per Tafashie	Per Tafkheem Or Taqeeq	Per Tikraar
0.1776	0.2	712	0.0338	0.0562	0.0022	0.0023	0.0015	0.0017	0.0066	0.0084	0.0016	0.3347	0.0013	0.0035	0.0077
0.0287	0.4	1424	0.0080	0.0150	0.0016	0.0016	0.0011	0.0012	0.0048	0.0056	0.0013	0.0601	0.0010	0.0034	0.0064
0.0142	0.6	2136	0.0060	0.0102	0.0014	0.0013	0.0009	0.0010	0.0032	0.0062	0.0011	0.0426	0.0008	0.0021	0.0054
0.0123	0.8	2848	0.0052	0.0105	0.0015	0.0016	0.0010	0.0012	0.0032	0.0037	0.0012	0.0359	0.0010	0.0020	0.0046
0.0112	1.0	3560	0.0057	0.0092	0.0012	0.0013	0.0008	0.0009	0.0027	0.0036	0.0010	0.0457	0.0008	0.0014	0.0035

Framework versions

Transformers 4.55.0
Pytorch 2.8.0+cu128
Datasets 3.3.2
Tokenizers 0.21.4

Library: transformers
Type: multi_level_ctc
License: mit
Created: Sep 15, 2026
Updated: Sep 15, 2026