Phi-4-inst-asr-indo
This model is a fine-tuned version of microsoft/Phi-4-multimodal-instruct on an unknown 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.99) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
Framework versions
- PEFT 0.13.2
- Transformers 4.46.1
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.20.3
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Model tree for Winzliu/Phi-4-inst-asr-indo
Base model
microsoft/Phi-4-multimodal-instruct