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whisper-large-v2-basque
Ansu/whisper-large-v2-basque
whisper-large-v2-basque is a machine learning model from Ansu. 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
- Aug 29, 2026
- Updated
- Sep 18, 2026
- SHA
- 2b6af824
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-basque
This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2262
- Wer: 13.5490
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: 256
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 512
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1893 | 0.42 | 500 | 0.3062 | 21.7477 |
| 0.1486 | 0.84 | 1000 | 0.2539 | 17.3600 |
| 0.1156 | 1.26 | 1500 | 0.2362 | 15.0533 |
| 0.1098 | 1.68 | 2000 | 0.2244 | 14.3350 |
| 0.0831 | 2.1 | 2500 | 0.2195 | 13.8835 |
| 0.0831 | 2.52 | 3000 | 0.2164 | 13.6967 |
| 0.0814 | 2.94 | 3500 | 0.2141 | 13.3950 |
| 0.0623 | 3.36 | 4000 | 0.2209 | 13.4361 |
| 0.0616 | 3.78 | 4500 | 0.2189 | 13.2309 |
| 0.0503 | 4.2 | 5000 | 0.2262 | 13.5490 |
Framework versions
- Transformers 4.38.0
- Pytorch 2.1.1+cu121
- Datasets 2.8.0
- Tokenizers 0.15.2
- Type
- whisper
- License
- apache-2.0
- Created
- Aug 29, 2026
- Updated
- Sep 18, 2026