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whisper-base-ml-ru
aangry-mouse/whisper-base-ml-ru
whisper-base-ml-ru is a automatic speech recognition model from aangry-mouse. 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
- May 22, 2024
- Updated
- May 22, 2024
- SHA
- d0e90b81
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 Base Ml Ru
This model is a fine-tuned version of openai/whisper-base on the ML датасет dataset. It achieves the following results on the evaluation set:
- Loss: 0.4705
- Wer: 35.2729
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.6752 | 0.6649 | 250 | 0.6513 | 39.3404 |
| 0.4415 | 1.3298 | 500 | 0.5277 | 38.4923 |
| 0.4037 | 1.9947 | 750 | 0.4766 | 35.0766 |
| 0.2825 | 2.6596 | 1000 | 0.4705 | 35.2729 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.0.1+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- Languages
- ru
- Created
- May 22, 2024
- Updated
- May 22, 2024