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whisper-tiny-hyperparameter
iqbalasrif/whisper-tiny-hyperparameter
whisper-tiny-hyperparameter is a automatic speech recognition model from iqbalasrif. 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 9, 2024
- Updated
- Oct 9, 2024
- SHA
- dfe28ebb
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. -->
hyperparameter
This model is a fine-tuned version of openai/whisper-tiny.en on the lalipa/jv_id_asr_split jv_id_asr_source dataset. It achieves the following results on the evaluation set:
- Loss: 1.4506
- Wer: 0.6884
- Cer: 0.2050
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use adamw_torch 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: 100
- training_steps: 300
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 3.9694 | 0.1020 | 30 | 3.7782 | 1.8748 | 1.0887 |
| 3.3735 | 0.2041 | 60 | 2.9598 | 1.0019 | 0.4254 |
| 2.5449 | 0.3061 | 90 | 2.1989 | 0.8820 | 0.3221 |
| 1.9987 | 0.4082 | 120 | 1.8648 | 0.8004 | 0.2606 |
| 1.7671 | 0.5102 | 150 | 1.6909 | 0.7619 | 0.2312 |
| 1.6285 | 0.6122 | 180 | 1.5863 | 0.7336 | 0.2245 |
| 1.5475 | 0.7143 | 210 | 1.5251 | 0.7216 | 0.2213 |
| 1.4793 | 0.8163 | 240 | 1.4807 | 0.6942 | 0.2035 |
| 1.5013 | 0.9184 | 270 | 1.4582 | 0.6904 | 0.2057 |
| 1.4438 | 1.0204 | 300 | 1.4506 | 0.6884 | 0.2050 |
Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.4.1
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Oct 9, 2024
- Updated
- Oct 9, 2024