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whisper_large_v2_fixed_timestamps
PThi35/whisper_large_v2_fixed_timestamps
whisper_large_v2_fixed_timestamps is a machine learning model from PThi35. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Apr 30, 2026
- Updated
- Apr 30, 2026
- SHA
- 64c06afb
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_large_v2_fixed_timestamps
This model is a fine-tuned version of openai/whisper-large-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6408
- Cer: 14.2277
- Wer: 24.0848
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Wer |
|---|---|---|---|---|---|
| 0.8984 | 1.0 | 6265 | 0.6727 | 15.8499 | 27.0820 |
| 0.6156 | 2.0 | 12530 | 0.6507 | 15.4948 | 26.1944 |
| 0.5175 | 3.0 | 18795 | 0.6408 | 14.2277 | 24.0848 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1
- Type
- whisper
- License
- apache-2.0
- Created
- Apr 30, 2026
- Updated
- Apr 30, 2026