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--- |
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library_name: peft |
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license: mit |
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base_model: google/paligemma-3b-pt-224 |
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tags: |
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- generated_from_trainer |
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- vlm |
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- PaliGemma |
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- LoRA |
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- PEFT |
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model-index: |
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- name: paligemma_intersections |
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results: [] |
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datasets: |
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- ariG23498/intersection-dataset |
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language: |
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- en |
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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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## Model description |
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This model is a fine-tuned version of [google/paligemma-3b-pt-224](https://huggingface.co/google/paligemma-3b-pt-224) on [ariG23498/intersection-dataset](https://huggingface.co/datasets/ariG23498/intersection-dataset). |
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## Training procedure |
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Finetuning done using (LoRA) PEFT method. Rank = 8 choosen. |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-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: 4 |
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- total_train_batch_size: 4 |
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- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 2 |
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- num_epochs: 2 |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.50.2 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
