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whisper_8
namkyeong/whisper_8
whisper_8 is a automatic speech recognition model from namkyeong. 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
- Dec 2, 2023
- Updated
- Dec 5, 2023
- SHA
- 5fd2f4f2
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. -->
openai/whisper-tiny
This model is a fine-tuned version of openai/whisper-tiny on the lowband_and_meeting_all dataset. It achieves the following results on the evaluation set:
- Loss: 0.3738
- Cer: 13.4287
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: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 250000
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.5117 | 0.31 | 30000 | 0.4877 | 21.1183 |
| 0.4554 | 0.61 | 60000 | 0.4383 | 18.1652 |
| 0.4522 | 0.92 | 90000 | 0.4145 | 15.3446 |
| 0.4183 | 1.23 | 120000 | 0.4001 | 14.2250 |
| 0.402 | 1.53 | 150000 | 0.3913 | 13.6760 |
| 0.4031 | 1.84 | 180000 | 0.3830 | 14.3400 |
| 0.3735 | 2.15 | 210000 | 0.3766 | 14.6654 |
| 0.3829 | 2.46 | 240000 | 0.3738 | 13.4287 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ko
- Created
- Dec 2, 2023
- Updated
- Dec 5, 2023