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240624-wav2vec2-ASR-Arab
zainulhakim/240624-wav2vec2-ASR-Arab
240624-wav2vec2-ASR-Arab is a automatic speech recognition model from zainulhakim. 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
- Jun 24, 2024
- Updated
- Jul 18, 2024
- SHA
- 869778f1
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. -->
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240624-wav2vec2-ASR-Arab
This model is a fine-tuned version of zainulhakim/240615-wav2vec2-ASR-Arabs on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6706
- Wer: 0.9697
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: 5
- 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
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 6.25 | 100 | 2.5459 | 1.0 |
| No log | 12.5 | 200 | 1.4102 | 1.0 |
| No log | 18.75 | 300 | 1.6706 | 0.9697 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jun 24, 2024
- Updated
- Jul 18, 2024