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whisper-small-yue-hk-retrained
wcyat/whisper-small-yue-hk-retrained
whisper-small-yue-hk-retrained is a automatic speech recognition model from wcyat. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- whisper
- Access
- Public
- Created
- Jan 10, 2024
- Updated
- Jan 16, 2024
- SHA
- 3a137358
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-small-yue-hk-retrained-2
This model is a fine-tuned version of wcyat/whisper-small-yue-hk-retrained-1 on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.2631
- eval_cer: 12.5099
- eval_runtime: 4014.1159
- eval_samples_per_second: 2.037
- eval_steps_per_second: 0.127
- epoch: 0.81
- step: 1000
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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- Created
- Jan 10, 2024
- Updated
- Jan 16, 2024