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whisper_large_v3_phase1
PThi35/whisper_large_v3_phase1
whisper_large_v3_phase1 is a automatic speech recognition model from PThi35. 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
- Mar 18, 2026
- Updated
- Mar 18, 2026
- SHA
- 3bfcbef4
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_v3
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6966
- Cer: 16.8717
- Wer: 28.3301
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Cer | Validation Loss | Wer |
|---|---|---|---|---|---|
| 1.8187 | 1.0 | 2111 | 45.3063 | 0.6914 | 66.9946 |
| 0.7214 | 2.0 | 4222 | 37.9743 | 0.6309 | 55.6871 |
| 0.5298 | 3.0 | 6333 | 29.0135 | 0.6026 | 45.6557 |
| 0.4164 | 4.0 | 8444 | 35.3396 | 0.6037 | 54.7338 |
| 0.3355 | 5.0 | 10555 | 27.3975 | 0.5956 | 42.6625 |
| 0.2702 | 6.0 | 12666 | 26.9102 | 0.6047 | 42.2039 |
| 0.2202 | 7.0 | 14777 | 21.7689 | 0.6023 | 35.8946 |
| 0.1806 | 8.0 | 16888 | 20.1071 | 0.6053 | 32.7984 |
| 0.1496 | 9.0 | 18999 | 20.3211 | 0.6262 | 33.2826 |
| 0.1227 | 10.0 | 21110 | 19.5237 | 0.6374 | 31.9854 |
| 0.1013 | 11.0 | 23221 | 18.4214 | 0.6532 | 30.6836 |
| 0.0859 | 12.0 | 25332 | 18.6292 | 0.6505 | 30.9128 |
| 0.0728 | 13.0 | 27443 | 19.0582 | 0.6658 | 31.7761 |
| 0.0629 | 14.0 | 29554 | 17.9456 | 0.6691 | 30.1198 |
| 0.0549 | 15.0 | 31665 | 17.5997 | 0.6693 | 29.5186 |
| 0.0479 | 16.0 | 33776 | 18.0434 | 0.6894 | 30.0882 |
| 0.043 | 17.0 | 35887 | 17.4846 | 0.6831 | 29.3805 |
| 0.0385 | 18.0 | 37998 | 17.9625 | 0.6906 | 29.9607 |
| 0.0344 | 19.0 | 40109 | 16.9491 | 0.6914 | 28.6015 |
| 0.0315 | 20.0 | 42220 | 16.9293 | 0.6968 | 28.3968 |
| 0.029 | 21.0 | 44331 | 16.8717 | 0.6966 | 28.3301 |
| 0.0254 | 22.0 | 46442 | 16.9834 | 0.6997 | 28.4600 |
| 0.0236 | 23.0 | 48553 | 16.9067 | 0.6967 | 28.3442 |
| 0.0227 | 24.0 | 50664 | 16.9137 | 0.7046 | 28.2646 |
| 0.0212 | 25.0 | 52775 | 16.8825 | 0.7053 | 28.2705 |
Framework versions
- Transformers 4.55.4
- Pytorch 2.8.0+cu126
- Datasets 4.1.1
- Tokenizers 0.21.4
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- Created
- Mar 18, 2026
- Updated
- Mar 18, 2026