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whisper-large-v2-ne-NP-model-convergence-test
DrishtiSharma/whisper-large-v2-ne-NP-model-convergence-test
whisper-large-v2-ne-NP-model-convergence-test is a automatic speech recognition model from DrishtiSharma. 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 21, 2022
- Updated
- Dec 21, 2022
- SHA
- d8a2c3a9
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 Large V2 Nepali
This model is a fine-tuned version of DrishtiSharma/whisper-large-v2-hi-1e-5-2.5k-steps-v1 on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.7447
- Wer: 14.6341
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: 8
- 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: 200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0 | 200.0 | 200 | 0.7447 | 14.6341 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ne
- Created
- Dec 21, 2022
- Updated
- Dec 21, 2022