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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# phi-4-multimodal-instruct-lttc

This model is a fine-tuned version of [microsoft/Phi-4-multimodal-instruct](https://huggingface.co/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