whisper-medium-lozgen-male-model
This model is a fine-tuned version of openai/whisper-medium on the lozgen dataset. It achieves the following results on the evaluation set:
- Loss: 0.7984
- Wer: 0.4797
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: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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 |
|---|---|---|---|---|
| 1.2961 | 2.9851 | 200 | 0.7984 | 0.4797 |
| 0.2221 | 5.9701 | 400 | 0.8183 | 0.4540 |
| 0.0963 | 8.9552 | 600 | 0.8391 | 0.3890 |
| 0.0457 | 11.9403 | 800 | 0.8436 | 0.3887 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
openai/whisper-medium