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whisper-tiny-hi
Ja-le/whisper-tiny-hi
whisper-tiny-hi is a automatic speech recognition model from Ja-le. 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 19, 2023
- Updated
- Dec 19, 2023
- SHA
- 0e8e55e6
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-tiny-hi
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: 2.2091
- Wer: 86.2832
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: 0.0001
- 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: 50
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.5332 | 3.57 | 25 | 1.7565 | 89.3805 |
| 0.3504 | 7.14 | 50 | 1.6160 | 90.2655 |
| 0.0551 | 10.71 | 75 | 1.8524 | 93.3628 |
| 0.0285 | 14.29 | 100 | 1.9261 | 123.0088 |
| 0.022 | 17.86 | 125 | 2.0688 | 92.9204 |
| 0.0075 | 21.43 | 150 | 2.0535 | 89.3805 |
| 0.0054 | 25.0 | 175 | 2.1533 | 86.7257 |
| 0.0016 | 28.57 | 200 | 2.1682 | 91.1504 |
| 0.001 | 32.14 | 225 | 2.2014 | 87.6106 |
| 0.001 | 35.71 | 250 | 2.1406 | 87.1681 |
| 0.0037 | 39.29 | 275 | 2.1968 | 88.0531 |
| 0.0012 | 42.86 | 300 | 2.1761 | 107.0796 |
| 0.0004 | 46.43 | 325 | 2.1874 | 88.0531 |
| 0.0003 | 50.0 | 350 | 2.2005 | 87.1681 |
| 0.0003 | 53.57 | 375 | 2.2018 | 87.1681 |
| 0.0002 | 57.14 | 400 | 2.2041 | 87.1681 |
| 0.0002 | 60.71 | 425 | 2.2055 | 86.7257 |
| 0.0002 | 64.29 | 450 | 2.2072 | 86.2832 |
| 0.0002 | 67.86 | 475 | 2.2089 | 87.1681 |
| 0.0002 | 71.43 | 500 | 2.2091 | 86.2832 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Dec 19, 2023
- Updated
- Dec 19, 2023