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whisper-small-indian_eng
theothertom/whisper-small-indian_eng
whisper-small-indian_eng is a automatic speech recognition model from theothertom. 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
- Jan 22, 2024
- Updated
- Jun 17, 2024
- SHA
- c25ff1cb
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-small-indian_eng
This model is a fine-tuned version of openai/whisper-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3169
- Wer: 10.6061
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5504 | 1.5873 | 100 | 0.4581 | 10.6061 |
| 0.058 | 3.1746 | 200 | 0.2114 | 8.8154 |
| 0.0126 | 4.7619 | 300 | 0.2365 | 8.1267 |
| 0.0078 | 6.3492 | 400 | 0.2513 | 7.9890 |
| 0.0026 | 7.9365 | 500 | 0.2596 | 7.1625 |
| 0.0027 | 9.5238 | 600 | 0.2676 | 8.1267 |
| 0.0031 | 11.1111 | 700 | 0.2842 | 7.3003 |
| 0.0013 | 12.6984 | 800 | 0.2707 | 18.7328 |
| 0.0004 | 14.2857 | 900 | 0.2814 | 13.6364 |
| 0.0006 | 15.8730 | 1000 | 0.2806 | 11.1570 |
| 0.0009 | 17.4603 | 1100 | 0.2906 | 11.0193 |
| 0.0004 | 19.0476 | 1200 | 0.2948 | 11.1570 |
| 0.0003 | 20.6349 | 1300 | 0.2984 | 10.8815 |
| 0.0002 | 22.2222 | 1400 | 0.3008 | 10.8815 |
| 0.0003 | 23.8095 | 1500 | 0.2992 | 10.7438 |
| 0.0001 | 25.3968 | 1600 | 0.3040 | 10.8815 |
| 0.0002 | 26.9841 | 1700 | 0.3088 | 10.7438 |
| 0.0001 | 28.5714 | 1800 | 0.3077 | 10.6061 |
| 0.0001 | 30.1587 | 1900 | 0.3098 | 10.4683 |
| 0.0001 | 31.7460 | 2000 | 0.3111 | 10.4683 |
| 0.0001 | 33.3333 | 2100 | 0.3119 | 10.4683 |
| 0.0001 | 34.9206 | 2200 | 0.3129 | 10.4683 |
| 0.0001 | 36.5079 | 2300 | 0.3142 | 10.4683 |
| 0.0001 | 38.0952 | 2400 | 0.3146 | 10.4683 |
| 0.0001 | 39.6825 | 2500 | 0.3153 | 10.6061 |
| 0.0001 | 41.2698 | 2600 | 0.3158 | 10.6061 |
| 0.0001 | 42.8571 | 2700 | 0.3162 | 10.6061 |
| 0.0001 | 44.4444 | 2800 | 0.3167 | 10.6061 |
| 0.0001 | 46.0317 | 2900 | 0.3169 | 10.6061 |
| 0.0001 | 47.6190 | 3000 | 0.3169 | 10.6061 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.0.0
- Datasets 2.16.1
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Jan 22, 2024
- Updated
- Jun 17, 2024