metadata
library_name: transformers
base_model: openai/clip-vit-base-patch32
tags:
- generated_from_trainer
model-index:
- name: logo-matching-base
results: []
logo-matching-base
This model is a fine-tuned version of openai/clip-vit-base-patch32 on an unknown dataset. It achieves the following results on the evaluation set:
- Adjusted Rand Score: 0.0388
- Adjusted Mutual Info Score: 0.1580
- Homogeneity Score: 0.6909
- Completeness Score: 0.4506
- Fowlkes Mallows Score: 0.1579
- Pair Confusion Matrix: [[45126, 2524], [12496, 1110]]
- Loss: 0.1711
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Adjusted Rand Score | Adjusted Mutual Info Score | Homogeneity Score | Completeness Score | Fowlkes Mallows Score | Pair Confusion Matrix | Validation Loss |
|---|---|---|---|---|---|---|---|---|---|
| 0.0639 | 1.0 | 34 | 0.0132 | 0.1073 | 0.6338 | 0.4284 | 0.1427 | [[44174, 3476], [12476, 1130]] | 0.1788 |
| 0.0651 | 2.0 | 68 | 0.0190 | 0.1262 | 0.6016 | 0.4393 | 0.1756 | [[42430, 5220], [11902, 1704]] | 0.1512 |
| 0.0636 | 3.0 | 102 | -0.0095 | 0.0882 | 0.6409 | 0.4209 | 0.1097 | [[44490, 3160], [12800, 806]] | 0.2056 |
| 0.0636 | 4.0 | 136 | 0.0474 | 0.1547 | 0.7151 | 0.4503 | 0.1606 | [[45706, 1944], [12586, 1020]] | 0.1903 |
| 0.0636 | 5.0 | 170 | 0.0469 | 0.1425 | 0.6837 | 0.4430 | 0.1646 | [[45356, 2294], [12484, 1122]] | 0.1960 |
| 0.0639 | 6.0 | 204 | 0.0251 | 0.1475 | 0.7021 | 0.4457 | 0.1340 | [[45520, 2130], [12752, 854]] | 0.1873 |
| 0.0643 | 7.0 | 238 | 0.0201 | 0.1292 | 0.6920 | 0.4394 | 0.1307 | [[45340, 2310], [12748, 858]] | 0.1720 |
| 0.0637 | 8.0 | 272 | 0.0059 | 0.1170 | 0.6723 | 0.4326 | 0.1163 | [[45124, 2526], [12826, 780]] | 0.1683 |
| 0.0638 | 9.0 | 306 | 0.0230 | 0.1567 | 0.6979 | 0.4515 | 0.1400 | [[45018, 2632], [12624, 982]] | 0.1715 |
| 0.0637 | 10.0 | 340 | 0.0388 | 0.1580 | 0.6909 | 0.4506 | 0.1579 | [[45126, 2524], [12496, 1110]] | 0.1711 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2