Update README.md

README.md

@@ -7,6 +7,8 @@ tags:
 model-index:
 - name: paligemma-architecture-styles
   results: []
+language:
+- en
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -46,11 +48,46 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-
+TrainOutput(global_step=261, training_loss=1.761135561912681, 
+metrics={'train_runtime': 1063.4627, 'train_samples_per_second': 1.975,
+'train_steps_per_second': 0.245, 'total_flos': 3.156513684279552e+16,
+'train_loss': 1.761135561912681, 'epoch': 2.9714285714285715})
+
+### Evals on base vs fine-tune
+
+Base model:
+
+Evaluation complete - Accuracy: 0.2400 (240/1000)
+
+Performance by style:
+Ancient Egyptian architecture: 0.09 (5/57)
+Art Deco architecture: 0.23 (17/75)
+Art Nouveau architecture: 0.01 (1/73)
+Baroque architecture: 0.26 (15/58)
+Bauhaus architecture: 0.00 (0/58)
+Brutalism: 0.00 (0/38)
+Byzantine architecture: 0.34 (17/50)
+Chicago school architecture: 0.06 (3/51)
+Colonial architecture: 0.30 (27/89)
+Deconstructivism: 0.00 (0/38)
+Gothic architecture: 0.98 (59/60)
+Greek Revival architecture: 0.45 (26/58)
+International style: 0.00 (0/66)
+Neoclassicism: 0.14 (18/125)
+Postmodern architecture: 0.94 (47/50)
+Romanesque architecture: 0.09 (5/54)
+Base model results saved to paligemma448_arch_finetune_styles/base_model_folder_eval_20250316_183525.csv
+
+=== EVALUATION RESULTS COMPARISON ===
+Fine-tuned model accuracy: 0.8440
+Base model accuracy: 0.2400
+Improvement: 0.6040
+
+The checkpoint-176 performs better than the latest checkpoint by .02, even though the training loss is lower on the latest checkpoint.
 
 ### Framework versions
 
 - Transformers 4.50.0.dev0
 - Pytorch 2.6.0+cu124
 - Datasets 3.4.0
-- Tokenizers 0.21.0
+- Tokenizers 0.21.0