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transcription_full
Arnold145/transcription_full
transcription_full is a machine learning model from Arnold145. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. 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
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Dec 23, 2025
- Updated
- Jan 3, 2026
- SHA
- 7233ab97
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. -->
transcription_full
This model is a fine-tuned version of openai/whisper-large-v3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0528
- Wer: 0.4930
- Cer: 0.2717
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Cer | Validation Loss | Wer |
|---|---|---|---|---|---|
| 0.0917 | 0.2531 | 4200 | 0.3473 | 0.0922 | 0.6812 |
| 0.078 | 0.5063 | 8400 | 0.3166 | 0.0766 | 0.5952 |
| 0.0689 | 0.7594 | 12600 | 0.2966 | 0.0691 | 0.5526 |
| 0.062 | 1.0126 | 16800 | 0.2926 | 0.0643 | 0.5457 |
| 0.0583 | 1.2657 | 21000 | 0.2725 | 0.0611 | 0.5045 |
| 0.0597 | 1.5189 | 25200 | 0.0592 | 0.5154 | 0.2810 |
| 0.0504 | 1.7720 | 29400 | 0.0577 | 0.5082 | 0.2784 |
| 0.0481 | 2.0252 | 33600 | 0.0565 | 0.4934 | 0.2707 |
| 0.049 | 2.2783 | 37800 | 0.0549 | 0.4839 | 0.2662 |
| 0.0483 | 2.5315 | 42000 | 0.0537 | 0.4911 | 0.2712 |
| 0.0495 | 2.7846 | 46200 | 0.0528 | 0.4930 | 0.2717 |
Framework versions
- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.9.0+cu130
- Datasets 2.21.0
- Tokenizers 0.22.1
- Library
- peft
- License
- apache-2.0
- Created
- Dec 23, 2025
- Updated
- Jan 3, 2026