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whisper-mongolian-version-0.1
Cafet/whisper-mongolian-version-0.1
whisper-mongolian-version-0.1 is a automatic speech recognition model from Cafet. 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
- Apr 9, 2024
- Updated
- Apr 10, 2024
- SHA
- dae21b9e
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_Large_Mongolian
This model is a fine-tuned version of openai/whisper-large. It achieves the following results on the evaluation set:
- eval_loss: 0.3309
- eval_wer: 29.1925
- eval_runtime: 1202.8614
- eval_samples_per_second: 1.539
- eval_steps_per_second: 0.193
- epoch: 5.64
- step: 3000
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: 4000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.0
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- mn
- Created
- Apr 9, 2024
- Updated
- Apr 10, 2024