Downloads · 30 days
37
10% of all-time downloads
Phi-4-inst-asr-indo
Winzliu/Phi-4-inst-asr-indo
Phi-4-inst-asr-indo is a machine learning model from Winzliu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
373
Public
Repo size
89.6 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.json19.8 MB · 83%
At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- May 6, 2025
- Updated
- Jun 26, 2025
- SHA
- d318e3a8
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Library
- peft
- License
- mit
- Created
- May 6, 2025
- Updated
- Jun 26, 2025