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whisper-base-jyutping-without-tones-full
AlienKevin/whisper-base-jyutping-without-tones-full
whisper-base-jyutping-without-tones-full is a automatic speech recognition model from AlienKevin. 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
- Sep 9, 2023
- Updated
- Sep 9, 2023
- SHA
- 281f5766
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. -->
Whisper Base Jyutping without Tones Full Version
This model is a fine-tuned version of openai/whisper-base on the Common Voice 14.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0907
- Wer: 9.6974
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- training_steps: 2400
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1293 | 0.18 | 800 | 0.1361 | 13.7307 |
| 0.1034 | 0.35 | 1600 | 0.1022 | 10.5049 |
| 0.0897 | 0.53 | 2400 | 0.0907 | 9.6974 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- yue
- Created
- Sep 9, 2023
- Updated
- Sep 9, 2023