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whisper_medium
PThi35/whisper_medium
whisper_medium 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
- May 9, 2026
- Updated
- May 13, 2026
- SHA
- 585597cf
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_medium
This model is a fine-tuned version of openai/whisper-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8150
- Cer: 18.5268
- Wer: 29.2412
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: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 16
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Cer | Validation Loss | Wer |
|---|---|---|---|---|---|
| 1.2907 | 0.9999 | 4710 | 23.0132 | 0.7406 | 36.5517 |
| 0.7187 | 2.0 | 9421 | 20.8767 | 0.7060 | 33.3982 |
| 0.6 | 2.9997 | 14130 | 19.9648 | 0.6988 | 31.7264 |
| 0.5865 | 3.9999 | 18840 | 20.0014 | 0.7123 | 31.6218 |
| 0.5186 | 5.0 | 23551 | 19.2677 | 0.7172 | 30.4461 |
| 0.472 | 5.9997 | 28260 | 18.9852 | 0.7162 | 30.0906 |
| 0.4797 | 6.9999 | 32970 | 19.3379 | 0.7248 | 30.4956 |
| 0.4354 | 8.0 | 37681 | 19.2062 | 0.7400 | 30.2514 |
| 0.4001 | 8.9999 | 42391 | 19.0646 | 0.7527 | 29.9263 |
| 0.3767 | 9.9996 | 47100 | 18.7777 | 0.7587 | 29.5899 |
| 0.3792 | 10.9999 | 51810 | 18.6863 | 0.7727 | 29.4977 |
| 0.3552 | 12.0 | 56521 | 18.5969 | 0.7830 | 29.4470 |
| 0.3371 | 12.9997 | 61230 | 18.6109 | 0.7887 | 29.4437 |
| 0.3418 | 13.9999 | 65940 | 0.7929 | 18.6870 | 29.5922 |
| 0.3225 | 15.0 | 70651 | 0.8090 | 18.6225 | 29.4099 |
| 0.3084 | 15.9997 | 75360 | 0.8150 | 18.5268 | 29.2412 |
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
- May 9, 2026
- Updated
- May 13, 2026