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whisper-large-english-TG
pranjali06/whisper-large-english-TG
whisper-large-english-TG is a automatic speech recognition model from pranjali06. 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 17, 2024
- Updated
- Apr 19, 2024
- SHA
- 1b51076d
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-large-english-TG
This model is a fine-tuned version of openai/whisper-large on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.4494
- Wer: 18.0005
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0452 | 2.6350 | 1000 | 0.3455 | 19.6915 |
| 0.0034 | 5.2701 | 2000 | 0.3999 | 17.8823 |
| 0.0005 | 7.9051 | 3000 | 0.4770 | 18.1438 |
| 0.0001 | 10.5402 | 4000 | 0.4494 | 18.0005 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Apr 17, 2024
- Updated
- Apr 19, 2024