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whisper-tiny-v2-ta_50
G-Rahul/whisper-tiny-v2-ta_50
whisper-tiny-v2-ta_50 is a automatic speech recognition model from G-Rahul. 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 11, 2023
- Updated
- Apr 11, 2023
- SHA
- 71304b91
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-tiny-v2-ta_50
This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2683
- Wer: 31.0896
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: 0.00015
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4405 | 0.11 | 300 | 0.4624 | 105.3753 |
| 0.3629 | 0.21 | 600 | 0.4473 | 40.7264 |
| 0.3163 | 0.32 | 900 | 0.3771 | 35.1090 |
| 0.279 | 0.42 | 1200 | 0.3547 | 34.9153 |
| 0.2594 | 0.53 | 1500 | 0.3311 | 31.6223 |
| 0.2284 | 0.63 | 1800 | 0.3131 | 29.3947 |
| 0.2294 | 0.74 | 2100 | 0.2863 | 27.5061 |
| 0.2022 | 0.84 | 2400 | 0.2735 | 27.2155 |
| 0.185 | 0.95 | 2700 | 0.2683 | 31.0896 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 1.12.1
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Apr 11, 2023
- Updated
- Apr 11, 2023