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ellabettison
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logo-matching-base

Zero-Shot Image Classification
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clip
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  1. README.md +27 -37
  2. model.safetensors +1 -1
README.md CHANGED
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  ---
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  library_name: transformers
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- base_model: ellabettison/logo-matching-base
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -13,15 +13,15 @@ should probably proofread and complete it, then remove this comment. -->
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  # logo-matching-base
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- This model is a fine-tuned version of [ellabettison/logo-matching-base](https://huggingface.co/ellabettison/logo-matching-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Adjusted Rand Score: 0.1048
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- - Adjusted Mutual Info Score: 0.1103
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- - Homogeneity Score: 0.1072
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- - Completeness Score: 0.6399
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- - Fowlkes Mallows Score: 0.4934
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- - Pair Confusion Matrix: [[13442, 34208], [1176, 12430]]
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- - Loss: 0.1048
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  ## Model description
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@@ -42,41 +42,31 @@ More information needed
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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: 32
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- - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH 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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- - num_epochs: 20
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  ### Training results
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- | Training Loss | Epoch | Step | Adjusted Rand Score | Adjusted Mutual Info Score | Homogeneity Score | Completeness Score | Fowlkes Mallows Score | Pair Confusion Matrix | Validation Loss |
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- |:-------------:|:-----:|:----:|:-------------------:|:--------------------------:|:-----------------:|:------------------:|:---------------------:|:-------------------------------:|:---------------:|
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- | 0.0988 | 1.0 | 34 | 0.0667 | 0.1257 | 0.1492 | 0.5530 | 0.4345 | [[17354, 30296], [3408, 10198]] | 0.0667 |
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- | 0.0918 | 2.0 | 68 | 0.0512 | 0.0801 | 0.1155 | 0.4762 | 0.4303 | [[15840, 31810], [3306, 10300]] | 0.0512 |
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- | 0.0972 | 3.0 | 102 | 0.0494 | 0.1485 | 0.2067 | 0.4977 | 0.3496 | [[27372, 20278], [6908, 6698]] | 0.0494 |
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- | 0.1027 | 4.0 | 136 | 0.1550 | 0.1639 | 0.2052 | 0.5160 | 0.4118 | [[30918, 16732], [6132, 7474]] | 0.1550 |
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- | 0.0944 | 5.0 | 170 | 0.1798 | 0.1948 | 0.2833 | 0.5017 | 0.3910 | [[35784, 11866], [7490, 6116]] | 0.1798 |
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- | 0.09 | 6.0 | 204 | 0.1186 | 0.1355 | 0.1836 | 0.5103 | 0.4414 | [[23042, 24608], [4096, 9510]] | 0.1186 |
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- | 0.0858 | 7.0 | 238 | 0.0756 | 0.1533 | 0.2163 | 0.4937 | 0.3570 | [[29292, 18358], [7030, 6576]] | 0.0756 |
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- | 0.0735 | 8.0 | 272 | 0.1107 | 0.1555 | 0.2280 | 0.4815 | 0.3651 | [[31962, 15688], [7288, 6318]] | 0.1107 |
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- | 0.0868 | 9.0 | 306 | 0.2523 | 0.2273 | 0.3022 | 0.5371 | 0.4428 | [[36956, 10694], [6766, 6840]] | 0.2523 |
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- | 0.0932 | 10.0 | 340 | 0.2318 | 0.2251 | 0.3703 | 0.4901 | 0.3838 | [[41708, 5942], [9010, 4596]] | 0.2318 |
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- | 0.0642 | 11.0 | 374 | 0.1840 | 0.1915 | 0.2284 | 0.5528 | 0.4331 | [[31348, 16302], [5754, 7852]] | 0.1840 |
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- | 0.0918 | 12.0 | 408 | 0.1472 | 0.1783 | 0.2400 | 0.5135 | 0.3946 | [[32168, 15482], [6722, 6884]] | 0.1472 |
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- | 0.0818 | 13.0 | 442 | 0.2861 | 0.2445 | 0.3090 | 0.5556 | 0.4658 | [[37650, 10000], [6500, 7106]] | 0.2861 |
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- | 0.0877 | 14.0 | 476 | 0.1159 | 0.1723 | 0.2474 | 0.4934 | 0.3621 | [[32834, 14816], [7496, 6110]] | 0.1159 |
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- | 0.0849 | 15.0 | 510 | 0.1053 | 0.1092 | 0.1086 | 0.6293 | 0.4935 | [[13498, 34152], [1182, 12424]] | 0.1053 |
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- | 0.0927 | 16.0 | 544 | 0.1119 | 0.1599 | 0.2309 | 0.4880 | 0.3674 | [[31812, 15838], [7216, 6390]] | 0.1119 |
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- | 0.0794 | 17.0 | 578 | 0.2050 | 0.2036 | 0.2405 | 0.5662 | 0.4462 | [[31942, 15708], [5590, 8016]] | 0.2050 |
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- | 0.0888 | 18.0 | 612 | 0.2215 | 0.2213 | 0.3139 | 0.5143 | 0.4002 | [[38766, 8884], [7984, 5622]] | 0.2215 |
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- | 0.0815 | 19.0 | 646 | 0.1725 | 0.1935 | 0.2815 | 0.4997 | 0.3833 | [[35946, 11704], [7668, 5938]] | 0.1725 |
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- | 0.0796 | 20.0 | 680 | 0.1048 | 0.1103 | 0.1072 | 0.6399 | 0.4934 | [[13442, 34208], [1176, 12430]] | 0.1048 |
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  ### Framework versions
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- - Transformers 4.47.1
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- - Pytorch 2.5.1+cu121
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- - Datasets 3.2.0
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- - Tokenizers 0.21.0
 
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  ---
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  library_name: transformers
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+ base_model: openai/clip-vit-base-patch32
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # logo-matching-base
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+ This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Adjusted Rand Score: 0.0388
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+ - Adjusted Mutual Info Score: 0.1580
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+ - Homogeneity Score: 0.6909
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+ - Completeness Score: 0.4506
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+ - Fowlkes Mallows Score: 0.1579
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+ - Pair Confusion Matrix: [[45126, 2524], [12496, 1110]]
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+ - Loss: 0.1711
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  ## Model description
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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: 32
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+ - eval_batch_size: 32
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH 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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+ - num_epochs: 10
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  ### Training results
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+ | Training Loss | Epoch | Step | Adjusted Rand Score | Adjusted Mutual Info Score | Homogeneity Score | Completeness Score | Fowlkes Mallows Score | Pair Confusion Matrix | Validation Loss |
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+ |:-------------:|:-----:|:----:|:-------------------:|:--------------------------:|:-----------------:|:------------------:|:---------------------:|:------------------------------:|:---------------:|
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+ | 0.0639 | 1.0 | 34 | 0.0132 | 0.1073 | 0.6338 | 0.4284 | 0.1427 | [[44174, 3476], [12476, 1130]] | 0.1788 |
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+ | 0.0651 | 2.0 | 68 | 0.0190 | 0.1262 | 0.6016 | 0.4393 | 0.1756 | [[42430, 5220], [11902, 1704]] | 0.1512 |
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+ | 0.0636 | 3.0 | 102 | -0.0095 | 0.0882 | 0.6409 | 0.4209 | 0.1097 | [[44490, 3160], [12800, 806]] | 0.2056 |
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+ | 0.0636 | 4.0 | 136 | 0.0474 | 0.1547 | 0.7151 | 0.4503 | 0.1606 | [[45706, 1944], [12586, 1020]] | 0.1903 |
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+ | 0.0636 | 5.0 | 170 | 0.0469 | 0.1425 | 0.6837 | 0.4430 | 0.1646 | [[45356, 2294], [12484, 1122]] | 0.1960 |
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+ | 0.0639 | 6.0 | 204 | 0.0251 | 0.1475 | 0.7021 | 0.4457 | 0.1340 | [[45520, 2130], [12752, 854]] | 0.1873 |
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+ | 0.0643 | 7.0 | 238 | 0.0201 | 0.1292 | 0.6920 | 0.4394 | 0.1307 | [[45340, 2310], [12748, 858]] | 0.1720 |
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+ | 0.0637 | 8.0 | 272 | 0.0059 | 0.1170 | 0.6723 | 0.4326 | 0.1163 | [[45124, 2526], [12826, 780]] | 0.1683 |
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+ | 0.0638 | 9.0 | 306 | 0.0230 | 0.1567 | 0.6979 | 0.4515 | 0.1400 | [[45018, 2632], [12624, 982]] | 0.1715 |
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+ | 0.0637 | 10.0 | 340 | 0.0388 | 0.1580 | 0.6909 | 0.4506 | 0.1579 | [[45126, 2524], [12496, 1110]] | 0.1711 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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+ - Transformers 4.52.4
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.2
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