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--- |
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library_name: transformers |
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license: mit |
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base_model: microsoft/Phi-4-multimodal-instruct |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: phi-4-multimodal-instruct-lttc |
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results: [] |
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datasets: |
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- ntnu-smil/LTTC-Train-1764-0520 |
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- ntnu-smil/LTTC-Dev-1764-0520 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# phi-4-multimodal-instruct-lttc |
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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. |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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- Finetune on ntnu-smil/LTTC-Train-1764-0520 without giving original question,image |
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- Test on ntnu-smil/LTTC-dev-1764-0520 |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 4e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 16 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.95) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 2 |
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### Training results |
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0.806 on Accuracy (abs(prediction-truth label)<= 0.5) |
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### Framework versions |
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- Transformers 4.48.2 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.4.1 |
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- Tokenizers 0.21.1 |
