whisper-large-v2-20240819
This model is a fine-tuned version of openai/whisper-large-v2 on the voxpopuli dataset. It achieves the following results on the evaluation set:
- Loss: 0.8304
- Wer: 40.9034
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-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
No log | 0.8276 | 4 | 0.8309 | 41.1543 |
No log | 1.8621 | 9 | 0.8304 | 40.9034 |
No log | 2.4828 | 12 | 0.8291 | 41.0289 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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openai/whisper-large-v2