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--- |
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library_name: transformers |
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license: gemma |
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base_model: google/paligemma2-3b-pt-448 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: paligemma-architecture-styles |
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results: [] |
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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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# paligemma-architecture-styles |
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This model is a fine-tuned version of [google/paligemma2-3b-pt-448](https://huggingface.co/google/paligemma2-3b-pt-448) on the None 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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More information needed |
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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: 1e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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- optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 20 |
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- num_epochs: 3 |
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### Training results |
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TrainOutput(global_step=261, training_loss=1.761135561912681, |
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metrics={'train_runtime': 1063.4627, 'train_samples_per_second': 1.975, |
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'train_steps_per_second': 0.245, 'total_flos': 3.156513684279552e+16, |
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'train_loss': 1.761135561912681, 'epoch': 2.9714285714285715}) |
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### Evals on base vs fine-tune |
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Base model: |
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Evaluation complete - Accuracy: 0.2400 (240/1000) |
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Performance by style: |
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Ancient Egyptian architecture: 0.09 (5/57) |
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Art Deco architecture: 0.23 (17/75) |
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Art Nouveau architecture: 0.01 (1/73) |
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Baroque architecture: 0.26 (15/58) |
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Bauhaus architecture: 0.00 (0/58) |
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Brutalism: 0.00 (0/38) |
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Byzantine architecture: 0.34 (17/50) |
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Chicago school architecture: 0.06 (3/51) |
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Colonial architecture: 0.30 (27/89) |
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Deconstructivism: 0.00 (0/38) |
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Gothic architecture: 0.98 (59/60) |
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Greek Revival architecture: 0.45 (26/58) |
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International style: 0.00 (0/66) |
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Neoclassicism: 0.14 (18/125) |
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Postmodern architecture: 0.94 (47/50) |
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Romanesque architecture: 0.09 (5/54) |
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Base model results saved to paligemma448_arch_finetune_styles/base_model_folder_eval_20250316_183525.csv |
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=== EVALUATION RESULTS COMPARISON === |
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Fine-tuned model accuracy: 0.8440 |
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Base model accuracy: 0.2400 |
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Improvement: 0.6040 |
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The checkpoint-176 performs better than the latest checkpoint by .02, even though the training loss is lower on the latest checkpoint. |
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### Framework versions |
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- Transformers 4.50.0.dev0 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.4.0 |
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- Tokenizers 0.21.0 |
