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whisper-small-hi
CKSINGH/whisper-small-hi
whisper-small-hi is a automatic speech recognition model from CKSINGH. 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
- Sep 13, 2023
- Updated
- Nov 12, 2023
- SHA
- 06f27cb0
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 Hi - CKS 111102 gramin dataset over common voice
This model is a fine-tuned version of [fine tuned openai/whisper-small](https://huggingface.co/fine tuned openai/whisper-small) on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2500
- Wer: 27.5791
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: 1.75e-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: 100
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2056 | 1.92 | 100 | 0.1679 | 27.0708 |
| 0.065 | 3.85 | 200 | 0.2057 | 28.1062 |
| 0.0153 | 5.77 | 300 | 0.2324 | 28.0873 |
| 0.0031 | 7.69 | 400 | 0.2461 | 27.5979 |
| 0.0013 | 9.62 | 500 | 0.2500 | 27.5791 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- Languages
- hi
- Created
- Sep 13, 2023
- Updated
- Nov 12, 2023