README.md

metadata

library_name: transformers
license: mit
base_model: microsoft/Phi-4-multimodal-instruct
tags:
  - generated_from_trainer
model-index:
  - name: Phi-4-multimodal-instruct_QA_NoImage_0325
    results: []
datasets:
  - ntnu-smil/LTTC-Train-1764-0520
  - ntnu-smil/LTTC-Dev-1764-0520
metrics:
  - accuracy

Phi-4-multimodal-instruct_QA_NoImage_0325

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: 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: 3

Training results

Accuracy 0.8587 Binary

Framework versions

• Transformers 4.48.2
• Pytorch 2.6.0+cu124
• Datasets 3.4.1
• Tokenizers 0.21.1