phi-4-multimodal-instruct-lttc
This model is a fine-tuned version of microsoft/Phi-4-multimodal-instruct on a private dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
- Finetune on ntnu-smil/LTTC-Train-1764-0520 without giving original question,image
- Test on ntnu-smil/LTTC-dev-1764-0520
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 4e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- 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: 50
- num_epochs: 2
Training results
0.806 on Accuracy (abs(prediction-truth label)<= 0.5)
Framework versions
- Transformers 4.48.2
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
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