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mdd-arabic-e2-xlsr300m-unannotated-beam
omarZACK/mdd-arabic-e2-xlsr300m-unannotated-beam
mdd-arabic-e2-xlsr300m-unannotated-beam is a automatic speech recognition model from omarZACK. 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
- wav2vec2
- Access
- Public
- Created
- Aug 8, 2026
- Updated
- Aug 9, 2026
- SHA
- 61af719d
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
mdd-arabic-e2-xlsr300m-unannotated-beam
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 13.8083
- Per: 0.8981
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: 0.0003
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Per |
|---|---|---|---|---|
| 2.2295 | 1.0 | 970 | 6.8593 | 0.8932 |
| 1.0776 | 2.0 | 1940 | 9.1442 | 0.8745 |
| 0.9818 | 3.0 | 2910 | 10.4151 | 0.8742 |
| 0.7230 | 4.0 | 3880 | 11.1031 | 0.8738 |
| 0.6338 | 5.0 | 4850 | 11.9739 | 0.8840 |
| 0.4782 | 6.0 | 5820 | 12.2693 | 0.8844 |
| 0.4198 | 7.0 | 6790 | 12.8384 | 0.8755 |
| 0.3668 | 8.0 | 7760 | 13.4830 | 0.8831 |
| 0.3602 | 9.0 | 8730 | 13.8083 | 0.8981 |
Framework versions
- Transformers 5.14.1
- Pytorch 2.10.0+cu128
- Datasets 5.0.1
- Tokenizers 0.22.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Aug 8, 2026
- Updated
- Aug 9, 2026