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train3dataset
wwwtwwwt/train3dataset
train3dataset is a automatic speech recognition model from wwwtwwwt. 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
- Nov 25, 2024
- Updated
- Nov 25, 2024
- SHA
- f21c2228
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. -->
Whisper Tiny En - ArtCreativity - Photography Tips
This model is a fine-tuned version of openai/whisper-tiny on the fineaudio-ArtCreativity-Photography Tips dataset. It achieves the following results on the evaluation set:
- Loss: 0.7095
- Wer: 34.1504
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
- 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.7104 | 0.7199 | 1000 | 0.7320 | 36.1841 |
| 0.4721 | 1.4399 | 2000 | 0.7127 | 35.3579 |
| 0.3614 | 2.1598 | 3000 | 0.7118 | 34.7159 |
| 0.3472 | 2.8798 | 4000 | 0.7095 | 34.1504 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Nov 25, 2024
- Updated
- Nov 25, 2024