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wav2vec2-large-xlsr53-fa-finetuned-gpu-final
OmidSakaki/wav2vec2-large-xlsr53-fa-finetuned-gpu-final
wav2vec2-large-xlsr53-fa-finetuned-gpu-final is a automatic speech recognition model from OmidSakaki. 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
- Dec 13, 2025
- Updated
- Dec 13, 2025
- SHA
- 68f2c615
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. -->
wav2vec2-large-xlsr53-fa-finetuned-gpu-final
This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-persian on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9452
- Wer: 0.4247
- Cer: 0.2242
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- 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: cosine
- lr_scheduler_warmup_steps: 300
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 1.178 | 3.1252 | 200 | 0.8393 | 0.4857 | 0.2599 |
| 0.8573 | 6.2505 | 400 | 0.8661 | 0.4635 | 0.2499 |
| 0.6904 | 9.3757 | 600 | 0.9452 | 0.4247 | 0.2242 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.5.1+cu121
- Datasets 2.16.1
- Tokenizers 0.22.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Dec 13, 2025
- Updated
- Dec 13, 2025