./4607
This model is a fine-tuned version of openai/whisper-large-v3 on the 4607 FULL-2024-09-26 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4741
- Wer Ortho: 26.0994
- Wer: 18.8648
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: 3e-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- training_steps: 1200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.7796 | 0.7715 | 200 | 0.5425 | 30.3365 | 22.7179 |
| 0.5403 | 1.5429 | 400 | 0.4978 | 28.0609 | 20.7078 |
| 0.4638 | 2.3144 | 600 | 0.4795 | 26.7206 | 19.8063 |
| 0.3967 | 3.0858 | 800 | 0.4749 | 26.6020 | 19.1786 |
| 0.3536 | 3.8573 | 1000 | 0.4722 | 26.2948 | 19.0317 |
| 0.3289 | 4.6287 | 1200 | 0.4741 | 26.0994 | 18.8648 |
Framework versions
- Transformers 4.45.1
- Pytorch 1.13.1+cu117
- Datasets 3.0.1
- Tokenizers 0.20.0
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Base model
openai/whisper-large-v3