clip-finetuned-csu-p14-336-e4l57-l
This model is a fine-tuned version of openai/clip-vit-large-patch14-336 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4679
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: 5e-07
- train_batch_size: 128
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3809 | 0.0533 | 500 | 1.1109 |
| 0.2649 | 0.1067 | 1000 | 0.9589 |
| 0.2104 | 0.1600 | 1500 | 0.9011 |
| 0.1849 | 0.2133 | 2000 | 0.8570 |
| 0.2056 | 0.2666 | 2500 | 0.7896 |
| 0.159 | 0.3200 | 3000 | 0.7648 |
| 0.1696 | 0.3733 | 3500 | 0.7638 |
| 0.1125 | 0.4266 | 4000 | 0.7486 |
| 0.1322 | 0.4799 | 4500 | 0.7252 |
| 0.1633 | 0.5333 | 5000 | 0.7035 |
| 0.125 | 0.5866 | 5500 | 0.6792 |
| 0.1297 | 0.6399 | 6000 | 0.6549 |
| 0.1114 | 0.6933 | 6500 | 0.6223 |
| 0.144 | 0.7466 | 7000 | 0.6205 |
| 0.1399 | 0.7999 | 7500 | 0.6074 |
| 0.141 | 0.8532 | 8000 | 0.5950 |
| 0.1291 | 0.9066 | 8500 | 0.5800 |
| 0.1246 | 0.9599 | 9000 | 0.5702 |
| 0.1257 | 1.0132 | 9500 | 0.5808 |
| 0.0336 | 1.0666 | 10000 | 0.5713 |
| 0.0663 | 1.1199 | 10500 | 0.5601 |
| 0.078 | 1.1732 | 11000 | 0.5580 |
| 0.1118 | 1.2265 | 11500 | 0.5491 |
| 0.0534 | 1.2799 | 12000 | 0.5479 |
| 0.0507 | 1.3332 | 12500 | 0.5766 |
| 0.0784 | 1.3865 | 13000 | 0.5730 |
| 0.079 | 1.4398 | 13500 | 0.5694 |
| 0.0507 | 1.4932 | 14000 | 0.5714 |
| 0.0774 | 1.5465 | 14500 | 0.5675 |
| 0.0376 | 1.5998 | 15000 | 0.5613 |
| 0.0929 | 1.6532 | 15500 | 0.5396 |
| 0.0442 | 1.7065 | 16000 | 0.5308 |
| 0.0593 | 1.7598 | 16500 | 0.5231 |
| 0.0578 | 1.8131 | 17000 | 0.5200 |
| 0.0928 | 1.8665 | 17500 | 0.5092 |
| 0.0633 | 1.9198 | 18000 | 0.4954 |
| 0.067 | 1.9731 | 18500 | 0.4984 |
| 0.0525 | 2.0265 | 19000 | 0.4999 |
| 0.0301 | 2.0798 | 19500 | 0.4926 |
| 0.0408 | 2.1331 | 20000 | 0.4873 |
| 0.0489 | 2.1864 | 20500 | 0.4883 |
| 0.0354 | 2.2398 | 21000 | 0.4888 |
| 0.0667 | 2.2931 | 21500 | 0.4867 |
| 0.0315 | 2.3464 | 22000 | 0.4881 |
| 0.0579 | 2.3997 | 22500 | 0.4896 |
| 0.0387 | 2.4531 | 23000 | 0.4834 |
| 0.0495 | 2.5064 | 23500 | 0.4857 |
| 0.0364 | 2.5597 | 24000 | 0.4861 |
| 0.0567 | 2.6131 | 24500 | 0.4765 |
| 0.0293 | 2.6664 | 25000 | 0.4704 |
| 0.0423 | 2.7197 | 25500 | 0.4728 |
| 0.0329 | 2.7730 | 26000 | 0.4688 |
| 0.0204 | 2.8264 | 26500 | 0.4696 |
| 0.029 | 2.8797 | 27000 | 0.4683 |
| 0.028 | 2.9330 | 27500 | 0.4684 |
| 0.0573 | 2.9863 | 28000 | 0.4679 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 1.12.1
- Datasets 2.21.0
- Tokenizers 0.19.1
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Base model
openai/clip-vit-large-patch14-336