Phi-4-multimodal-instruct-asr-tr
This model is a fine-tuned version of microsoft/Phi-4-multimodal-instruct on a 600 hours Turkish audio dataset.
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: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.95) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5000
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
Evaluation Results:
- Before Fine-Tuning:
- WER: 127.29
- CER: 78.22
- After Fine-Tuning:
- WER: 47.57
- CER: 20.52
- Before Fine-Tuning:
Training Loss:
- Decreased from 1.423 to 0.176
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.20.3
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Model tree for ysdede/Phi-4-mm-inst-asr-turkish
Base model
microsoft/Phi-4-multimodal-instruct