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whisper-tiny-sundanese-pretrained-hanif
arkanalexei/whisper-tiny-sundanese-pretrained-hanif
whisper-tiny-sundanese-pretrained-hanif is a automatic speech recognition model from arkanalexei. 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
- Oct 7, 2024
- Updated
- Oct 7, 2024
- SHA
- b2e2c655
Base models
Datasets
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. -->
BisiX: Sundanese Whisper (Fine Tuned)
This model is a fine-tuned version of openai/whisper-tiny.en on the SU ID ASR dataset. It achieves the following results on the evaluation set:
- Loss: 0.1520
- Wer: 11.1640
- Cer: 5.3914
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: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- training_steps: 270
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 3.1855 | 0.1765 | 30 | 1.2957 | 37.9416 | 13.6739 |
| 0.8989 | 0.3529 | 60 | 0.5241 | 24.9348 | 9.3570 |
| 0.3737 | 0.5294 | 90 | 0.3112 | 18.8135 | 6.9347 |
| 0.2528 | 0.7059 | 120 | 0.2354 | 13.5640 | 5.0195 |
| 0.1989 | 0.8824 | 150 | 0.2011 | 13.6989 | 7.9763 |
| 0.1554 | 1.0588 | 180 | 0.1727 | 10.2742 | 4.3784 |
| 0.1106 | 1.2353 | 210 | 0.1610 | 9.3393 | 3.5788 |
| 0.0918 | 1.4118 | 240 | 0.1560 | 12.3236 | 6.5779 |
| 0.0913 | 1.5882 | 270 | 0.1520 | 11.1640 | 5.3914 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- multilingual
- Created
- Oct 7, 2024
- Updated
- Oct 7, 2024