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whispher-small-hi
ManasDeshpande/whispher-small-hi
whispher-small-hi is a machine learning model from ManasDeshpande. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Oct 16, 2024
- Updated
- Oct 16, 2024
- SHA
- 8dd7f660
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 Hi - Sanchit Gandhi
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4519
- Wer: 32.0113
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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1011 | 2.44 | 1000 | 0.3075 | 34.6313 |
| 0.0264 | 4.89 | 2000 | 0.3558 | 33.1288 |
| 0.0025 | 7.33 | 3000 | 0.4214 | 32.5912 |
| 0.0006 | 9.78 | 4000 | 0.4519 | 32.0113 |
| 0.0002 | 12.22 | 5000 | 0.4679 | 32.0960 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.12.1
- Datasets 2.5.3.dev0
- Tokenizers 0.12.1
- Type
- whisper
- License
- apache-2.0
- Languages
- hi
- Created
- Oct 16, 2024
- Updated
- Oct 16, 2024