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whisper-medium-custom-hi
nikhilbh/whisper-medium-custom-hi
whisper-medium-custom-hi is a automatic speech recognition model from nikhilbh. 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
- Aug 17, 2023
- Updated
- Aug 24, 2023
- SHA
- 454ff10a
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 Medium Custom Hi - Nikhil Bhargava
This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common_voice_11_0 hi dataset. It achieves the following results on the evaluation set:
- Loss: 0.3972
- Wer: 0.2487
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0282 | 4.89 | 1000 | 0.2700 | 0.2647 |
| 0.0025 | 9.78 | 2000 | 0.3434 | 0.2554 |
| 0.0001 | 14.67 | 3000 | 0.3640 | 0.2471 |
| 0.0 | 19.56 | 4000 | 0.3902 | 0.2494 |
| 0.0 | 24.45 | 5000 | 0.3972 | 0.2487 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- hi
- Created
- Aug 17, 2023
- Updated
- Aug 24, 2023