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whisper-meduim-mongolian
Cafet/whisper-meduim-mongolian
whisper-meduim-mongolian 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
- May 1, 2024
- Updated
- May 1, 2024
- SHA
- 2306fffa
Base models
Datasets
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-meduim-mongolian
This model is a fine-tuned version of openai/whisper-medium on custom. It achieves the following results on the evaluation set:
- Loss: 0.3098
- Wer: 26.8664
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 4
- 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: 2000
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3034 | 0.9398 | 2000 | 0.4135 | 45.1152 |
| 0.1443 | 1.8797 | 4000 | 0.3127 | 35.3290 |
| 0.0618 | 2.8195 | 6000 | 0.3038 | 31.0534 |
| 0.0179 | 3.7594 | 8000 | 0.3042 | 28.3673 |
| 0.0028 | 4.6992 | 10000 | 0.3098 | 26.8664 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.0
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- mn
- Created
- May 1, 2024
- Updated
- May 1, 2024