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whisper-small-te-v5
kattojuprashanth238/whisper-small-te-v5
whisper-small-te-v5 is a automatic speech recognition model from kattojuprashanth238. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- whisper
- Access
- Public
- Created
- Jan 30, 2025
- Updated
- Feb 13, 2025
- SHA
- e4699972
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 Te - Prashanth Kattoju
This model is a fine-tuned version of openai/whisper-small-v5 on the Common Voice 17 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0948
- Wer Ortho: 32.4176
- Wer: 10.6227
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 1500
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 1.4434 | 0.4338 | 50 | 0.9813 | 101.6484 | 70.6960 |
| 0.6517 | 0.8677 | 100 | 0.4498 | 81.8681 | 31.6850 |
| 0.3973 | 1.2950 | 150 | 0.3015 | 75.2747 | 28.3883 |
| 0.2864 | 1.7289 | 200 | 0.1763 | 65.9341 | 23.4432 |
| 0.1998 | 2.1562 | 250 | 0.1545 | 59.3407 | 21.2454 |
| 0.1631 | 2.5900 | 300 | 0.1231 | 53.2967 | 19.4139 |
| 0.1368 | 3.0174 | 350 | 0.1128 | 50.0 | 20.3297 |
| 0.0823 | 3.4512 | 400 | 0.1249 | 48.3516 | 16.6667 |
| 0.0795 | 3.8850 | 450 | 0.1094 | 48.3516 | 18.6813 |
| 0.0486 | 4.3124 | 500 | 0.1131 | 43.9560 | 17.7656 |
| 0.0386 | 4.7462 | 550 | 0.1044 | 43.9560 | 15.7509 |
| 0.0275 | 5.1735 | 600 | 0.1020 | 35.1648 | 16.3004 |
| 0.0323 | 5.6074 | 650 | 0.1050 | 43.4066 | 15.9341 |
| 0.0257 | 6.0347 | 700 | 0.1067 | 39.0110 | 14.6520 |
| 0.0196 | 6.4685 | 750 | 0.1096 | 39.0110 | 13.9194 |
| 0.0231 | 6.9024 | 800 | 0.1158 | 41.2088 | 14.8352 |
| 0.0213 | 7.3297 | 850 | 0.0915 | 39.0110 | 15.3846 |
| 0.0142 | 7.7636 | 900 | 0.1107 | 41.2088 | 15.3846 |
| 0.0129 | 8.1909 | 950 | 0.1132 | 37.9121 | 14.4689 |
| 0.01 | 8.6247 | 1000 | 0.1190 | 35.7143 | 13.7363 |
| 0.0123 | 9.0521 | 1050 | 0.1081 | 37.9121 | 14.4689 |
| 0.0144 | 9.4859 | 1100 | 0.1086 | 39.0110 | 14.2857 |
| 0.0115 | 9.9197 | 1150 | 0.1021 | 37.9121 | 16.6667 |
| 0.0097 | 10.3471 | 1200 | 0.0998 | 34.0659 | 14.1026 |
| 0.0075 | 10.7809 | 1250 | 0.0976 | 28.5714 | 10.8059 |
| 0.0062 | 11.2082 | 1300 | 0.1252 | 34.6154 | 12.6374 |
| 0.0081 | 11.6421 | 1350 | 0.1029 | 31.3187 | 13.7363 |
| 0.0058 | 12.0694 | 1400 | 0.0986 | 34.6154 | 11.9048 |
| 0.0092 | 12.5033 | 1450 | 0.1020 | 32.9670 | 13.7363 |
| 0.0047 | 12.9371 | 1500 | 0.0948 | 32.4176 | 10.6227 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- Languages
- te
- Created
- Jan 30, 2025
- Updated
- Feb 13, 2025