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whisper-tiny-ja-ex
mkty/whisper-tiny-ja-ex
whisper-tiny-ja-ex is a automatic speech recognition model from mkty. 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
- Jan 29, 2024
- Updated
- Jan 29, 2024
- SHA
- 313efd06
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-tiny-ja-ex
This model is a fine-tuned version of kosamit/whisper-tiny-ja on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7201
- Wer: 85.7143
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: 8
- 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: 10
- training_steps: 40
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3657 | 3.33 | 10 | 0.3633 | 85.7143 |
| 0.0092 | 6.67 | 20 | 0.6441 | 85.7143 |
| 0.0002 | 10.0 | 30 | 0.7092 | 85.7143 |
| 0.0001 | 13.33 | 40 | 0.7201 | 85.7143 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Jan 29, 2024
- Updated
- Jan 29, 2024