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whisper-base-np
bariumc/whisper-base-np
whisper-base-np is a machine learning model from bariumc. 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
- Aug 5, 2024
- Updated
- Aug 5, 2024
- SHA
- 05b229a1
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 base nepali - Pujan paudel
This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- Loss: 1.1173
- Wer: 75.9915
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: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.039 | 16.1290 | 500 | 0.7968 | 77.1246 |
| 0.0014 | 32.2581 | 1000 | 1.0284 | 75.9207 |
| 0.0003 | 48.3871 | 1500 | 1.0966 | 75.8499 |
| 0.0003 | 64.5161 | 2000 | 1.1173 | 75.9915 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- whisper
- License
- apache-2.0
- Languages
- nep
- Created
- Aug 5, 2024
- Updated
- Aug 5, 2024