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Whisper ORF Bundeslaender
This model is a fine-tuned version of openai/whisper-large-v3 on the ZIB2 Common Voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.3878
- Wer: 17.2956
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3943 | 1.7153 | 1000 | 0.4072 | 17.5540 |
| 0.3431 | 3.4305 | 2000 | 0.3922 | 17.3458 |
| 0.3961 | 5.1458 | 3000 | 0.3885 | 17.3506 |
| 0.3548 | 6.8611 | 4000 | 0.3878 | 17.2956 |
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for rmacek/ORF-large-v3-de
Base model
openai/whisper-large-v3