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whisper-small-nep
Faith-nchifor/whisper-small-nep
whisper-small-nep is a automatic speech recognition model from Faith-nchifor. 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
- Dec 5, 2023
- Updated
- Dec 24, 2023
- SHA
- d0708c92
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-nep
This model is a fine-tuned version of openai/whisper-small on the ASR Nepali dataset from openslr.org. It achieves the following results on the evaluation set:
- Loss: 0.2274
- Wer: 43.7277
Model description
Finetuned Whisper for Nepali dataset
Intended uses & limitations
This model is an initial finetuning model for ASR for Nepali language. More training is needed for better model performances
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: 1500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.093 | 2.5 | 1000 | 0.2274 | 43.7277 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Dec 5, 2023
- Updated
- Dec 24, 2023