Commit
•
41c8669
1
Parent(s):
a9b9bca
End of training
Browse files- README.md +196 -0
- all_results.json +13 -0
- config.json +67 -0
- eval_results.json +8 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- train_results.json +8 -0
- trainer_state.json +3465 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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| 2 |
+
license: apache-2.0
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| 3 |
+
base_model: facebook/convnextv2-tiny-1k-224
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| 4 |
+
tags:
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+
- generated_from_trainer
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+
datasets:
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- imagefolder
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metrics:
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| 9 |
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- accuracy
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| 10 |
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model-index:
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- name: convnextv2-tiny-1k-224-finetuned-pattern-rgb
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: imagefolder
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type: imagefolder
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config: default
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split: train
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.875
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+
---
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| 27 |
+
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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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| 30 |
+
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# convnextv2-tiny-1k-224-finetuned-pattern-rgb
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This model is a fine-tuned version of [facebook/convnextv2-tiny-1k-224](https://huggingface.co/facebook/convnextv2-tiny-1k-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5797
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- Accuracy: 0.875
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## Model description
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More information needed
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## Intended uses & limitations
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| 43 |
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More information needed
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## Training and evaluation data
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| 47 |
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More information needed
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## Training procedure
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| 51 |
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-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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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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| 63 |
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- lr_scheduler_warmup_ratio: 0.1
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| 64 |
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- num_epochs: 120
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| 65 |
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### Training results
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| 67 |
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| 68 |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 69 |
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|:-------------:|:--------:|:----:|:---------------:|:--------:|
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| 70 |
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| 1.6954 | 0.9912 | 28 | 1.4482 | 0.58 |
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| 71 |
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| 1.015 | 1.9823 | 56 | 0.9088 | 0.7175 |
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| 72 |
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| 0.7953 | 2.9735 | 84 | 0.7266 | 0.7625 |
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| 0.627 | 4.0 | 113 | 0.5872 | 0.8 |
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| 74 |
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| 0.4684 | 4.9912 | 141 | 0.5534 | 0.8175 |
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| 0.4301 | 5.9823 | 169 | 0.5053 | 0.8275 |
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| 0.3716 | 6.9735 | 197 | 0.4885 | 0.83 |
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| 0.3798 | 8.0 | 226 | 0.4639 | 0.8525 |
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| 0.3123 | 8.9912 | 254 | 0.5282 | 0.825 |
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| 0.3148 | 9.9823 | 282 | 0.4569 | 0.8475 |
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| 0.2427 | 10.9735 | 310 | 0.4206 | 0.865 |
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| 0.2198 | 12.0 | 339 | 0.4832 | 0.84 |
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| 0.1995 | 12.9912 | 367 | 0.4468 | 0.865 |
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| 0.1738 | 13.9823 | 395 | 0.5668 | 0.8425 |
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| 0.1683 | 14.9735 | 423 | 0.4454 | 0.8725 |
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| 0.1426 | 16.0 | 452 | 0.5118 | 0.8525 |
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| 0.133 | 16.9912 | 480 | 0.4713 | 0.865 |
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| 0.1148 | 17.9823 | 508 | 0.5226 | 0.855 |
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| 0.1147 | 18.9735 | 536 | 0.5333 | 0.8425 |
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| 0.1284 | 20.0 | 565 | 0.4399 | 0.8575 |
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| 0.1035 | 20.9912 | 593 | 0.5194 | 0.8525 |
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| 0.1054 | 21.9823 | 621 | 0.5140 | 0.845 |
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| 0.1056 | 22.9735 | 649 | 0.5183 | 0.87 |
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| 0.1224 | 24.0 | 678 | 0.5293 | 0.85 |
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| 0.0956 | 24.9912 | 706 | 0.4985 | 0.87 |
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| 0.0717 | 25.9823 | 734 | 0.5267 | 0.8625 |
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| 0.0858 | 26.9735 | 762 | 0.5525 | 0.8575 |
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| 0.097 | 28.0 | 791 | 0.5340 | 0.855 |
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| 0.0914 | 28.9912 | 819 | 0.4830 | 0.87 |
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| 0.0699 | 29.9823 | 847 | 0.4883 | 0.8725 |
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| 0.0932 | 30.9735 | 875 | 0.6106 | 0.8575 |
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| 0.0967 | 32.0 | 904 | 0.5614 | 0.855 |
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| 0.101 | 32.9912 | 932 | 0.5947 | 0.8525 |
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| 0.0734 | 33.9823 | 960 | 0.5388 | 0.87 |
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| 0.0742 | 34.9735 | 988 | 0.5110 | 0.8725 |
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| 0.0698 | 36.0 | 1017 | 0.5384 | 0.8525 |
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| 0.0785 | 36.9912 | 1045 | 0.5407 | 0.8475 |
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| 0.0718 | 37.9823 | 1073 | 0.5420 | 0.86 |
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| 0.061 | 38.9735 | 1101 | 0.5747 | 0.8675 |
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| 0.0695 | 40.0 | 1130 | 0.5829 | 0.8575 |
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| 0.0611 | 40.9912 | 1158 | 0.6212 | 0.8525 |
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| 0.0734 | 41.9823 | 1186 | 0.5035 | 0.875 |
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| 0.0643 | 42.9735 | 1214 | 0.5345 | 0.8775 |
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| 0.0625 | 44.0 | 1243 | 0.5208 | 0.8625 |
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| 0.047 | 44.9912 | 1271 | 0.5635 | 0.8675 |
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| 115 |
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| 0.0612 | 45.9823 | 1299 | 0.4721 | 0.8775 |
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| 0.0582 | 46.9735 | 1327 | 0.5683 | 0.855 |
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| 0.0516 | 48.0 | 1356 | 0.5883 | 0.8625 |
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| 0.0427 | 48.9912 | 1384 | 0.5757 | 0.8575 |
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| 0.0601 | 49.9823 | 1412 | 0.5368 | 0.8625 |
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| 0.0645 | 50.9735 | 1440 | 0.5608 | 0.84 |
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| 0.054 | 52.0 | 1469 | 0.5380 | 0.87 |
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| 0.0647 | 52.9912 | 1497 | 0.5490 | 0.8625 |
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| 0.0539 | 53.9823 | 1525 | 0.5686 | 0.8625 |
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| 0.0485 | 54.9735 | 1553 | 0.5474 | 0.8725 |
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| 0.0649 | 56.0 | 1582 | 0.5938 | 0.86 |
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| 0.0486 | 56.9912 | 1610 | 0.5642 | 0.86 |
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| 0.0385 | 57.9823 | 1638 | 0.5390 | 0.8675 |
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| 0.0404 | 58.9735 | 1666 | 0.5735 | 0.8775 |
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| 0.0543 | 60.0 | 1695 | 0.5117 | 0.875 |
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| 0.0506 | 60.9912 | 1723 | 0.5422 | 0.8725 |
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| 0.0398 | 61.9823 | 1751 | 0.5473 | 0.87 |
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| 0.0494 | 62.9735 | 1779 | 0.5333 | 0.8675 |
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| 133 |
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| 0.0472 | 64.0 | 1808 | 0.5650 | 0.8825 |
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| 0.0504 | 64.9912 | 1836 | 0.5771 | 0.8575 |
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| 0.044 | 65.9823 | 1864 | 0.5220 | 0.86 |
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| 136 |
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| 0.061 | 66.9735 | 1892 | 0.5622 | 0.8725 |
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| 137 |
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| 0.0459 | 68.0 | 1921 | 0.5864 | 0.8625 |
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| 0.0294 | 68.9912 | 1949 | 0.6341 | 0.8625 |
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| 139 |
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| 0.0428 | 69.9823 | 1977 | 0.5696 | 0.8675 |
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| 0.0317 | 70.9735 | 2005 | 0.6313 | 0.845 |
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| 0.0453 | 72.0 | 2034 | 0.5955 | 0.875 |
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| 0.0592 | 72.9912 | 2062 | 0.5844 | 0.8675 |
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| 0.0408 | 73.9823 | 2090 | 0.5868 | 0.86 |
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| 0.0358 | 74.9735 | 2118 | 0.6115 | 0.85 |
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| 0.0412 | 76.0 | 2147 | 0.5940 | 0.865 |
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| 0.0323 | 76.9912 | 2175 | 0.5752 | 0.8625 |
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| 0.0378 | 77.9823 | 2203 | 0.5515 | 0.8725 |
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| 0.0359 | 78.9735 | 2231 | 0.5910 | 0.8775 |
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| 0.028 | 80.0 | 2260 | 0.6060 | 0.8725 |
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| 0.032 | 80.9912 | 2288 | 0.6054 | 0.8775 |
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| 0.032 | 81.9823 | 2316 | 0.6312 | 0.8725 |
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| 0.0228 | 82.9735 | 2344 | 0.6153 | 0.87 |
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| 0.0457 | 84.0 | 2373 | 0.6443 | 0.86 |
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| 0.0248 | 84.9912 | 2401 | 0.5726 | 0.875 |
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| 0.0405 | 85.9823 | 2429 | 0.6042 | 0.875 |
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| 0.0203 | 86.9735 | 2457 | 0.6107 | 0.87 |
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| 0.0557 | 88.0 | 2486 | 0.5890 | 0.88 |
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| 158 |
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| 0.0302 | 88.9912 | 2514 | 0.5778 | 0.8625 |
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| 0.0268 | 89.9823 | 2542 | 0.6039 | 0.8625 |
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| 160 |
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| 0.0313 | 90.9735 | 2570 | 0.5608 | 0.885 |
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| 161 |
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| 0.0227 | 92.0 | 2599 | 0.6019 | 0.8625 |
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| 162 |
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| 0.0277 | 92.9912 | 2627 | 0.5949 | 0.8675 |
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| 163 |
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| 0.0378 | 93.9823 | 2655 | 0.5785 | 0.875 |
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| 164 |
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| 0.0381 | 94.9735 | 2683 | 0.5646 | 0.8825 |
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| 165 |
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| 0.0435 | 96.0 | 2712 | 0.5513 | 0.88 |
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| 0.0264 | 96.9912 | 2740 | 0.5257 | 0.875 |
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| 0.0362 | 97.9823 | 2768 | 0.5332 | 0.8825 |
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| 168 |
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| 0.0209 | 98.9735 | 2796 | 0.5777 | 0.855 |
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| 169 |
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| 0.0348 | 100.0 | 2825 | 0.5674 | 0.8675 |
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| 170 |
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| 0.02 | 100.9912 | 2853 | 0.5744 | 0.8625 |
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| 171 |
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| 0.0092 | 101.9823 | 2881 | 0.5852 | 0.8675 |
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| 172 |
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| 0.0343 | 102.9735 | 2909 | 0.5856 | 0.8675 |
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| 173 |
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| 0.0185 | 104.0 | 2938 | 0.5670 | 0.88 |
|
| 174 |
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| 0.0198 | 104.9912 | 2966 | 0.5612 | 0.8775 |
|
| 175 |
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| 0.016 | 105.9823 | 2994 | 0.5701 | 0.88 |
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| 176 |
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| 0.0369 | 106.9735 | 3022 | 0.5791 | 0.8825 |
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| 177 |
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| 0.0357 | 108.0 | 3051 | 0.5730 | 0.8725 |
|
| 178 |
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| 0.0361 | 108.9912 | 3079 | 0.5627 | 0.8725 |
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| 179 |
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| 0.0438 | 109.9823 | 3107 | 0.5812 | 0.875 |
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| 180 |
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| 0.0243 | 110.9735 | 3135 | 0.5922 | 0.8725 |
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| 181 |
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| 0.0241 | 112.0 | 3164 | 0.5913 | 0.8775 |
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| 182 |
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| 0.0256 | 112.9912 | 3192 | 0.5862 | 0.8675 |
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| 183 |
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| 0.0247 | 113.9823 | 3220 | 0.5813 | 0.8675 |
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| 184 |
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| 0.028 | 114.9735 | 3248 | 0.5752 | 0.87 |
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| 185 |
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| 0.0177 | 116.0 | 3277 | 0.5742 | 0.87 |
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| 186 |
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| 0.0255 | 116.9912 | 3305 | 0.5795 | 0.87 |
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| 187 |
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| 0.0174 | 117.9823 | 3333 | 0.5803 | 0.875 |
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| 0.0225 | 118.9381 | 3360 | 0.5797 | 0.875 |
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### Framework versions
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- Transformers 4.44.0
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- Pytorch 2.4.0
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 118.93805309734513,
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| 3 |
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"eval_accuracy": 0.875,
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| 4 |
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"eval_loss": 0.5796830654144287,
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"eval_runtime": 6.4807,
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"eval_samples_per_second": 61.722,
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"eval_steps_per_second": 2.006,
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"total_flos": 1.0779764781475824e+19,
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"train_loss": 0.10835168258996591,
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"train_runtime": 10219.331,
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"train_samples_per_second": 42.273,
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"train_steps_per_second": 0.329
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}
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config.json
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "facebook/convnextv2-tiny-1k-224",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"ConvNextV2ForImageClassification"
|
| 5 |
+
],
|
| 6 |
+
"depths": [
|
| 7 |
+
3,
|
| 8 |
+
3,
|
| 9 |
+
9,
|
| 10 |
+
3
|
| 11 |
+
],
|
| 12 |
+
"drop_path_rate": 0.0,
|
| 13 |
+
"hidden_act": "gelu",
|
| 14 |
+
"hidden_sizes": [
|
| 15 |
+
96,
|
| 16 |
+
192,
|
| 17 |
+
384,
|
| 18 |
+
768
|
| 19 |
+
],
|
| 20 |
+
"id2label": {
|
| 21 |
+
"0": "Abstract_Pattern",
|
| 22 |
+
"1": "Check_Pattern",
|
| 23 |
+
"2": "Color_Block_Pattern",
|
| 24 |
+
"3": "Embellished_Pattern",
|
| 25 |
+
"4": "Embroider_Pattern",
|
| 26 |
+
"5": "Geometric_pattern",
|
| 27 |
+
"6": "Graphic_Pattern",
|
| 28 |
+
"7": "Lace_Pattern",
|
| 29 |
+
"8": "Polka_Dot_Pattern",
|
| 30 |
+
"9": "Stripes_Pattern"
|
| 31 |
+
},
|
| 32 |
+
"image_size": 224,
|
| 33 |
+
"initializer_range": 0.02,
|
| 34 |
+
"label2id": {
|
| 35 |
+
"Abstract_Pattern": 0,
|
| 36 |
+
"Check_Pattern": 1,
|
| 37 |
+
"Color_Block_Pattern": 2,
|
| 38 |
+
"Embellished_Pattern": 3,
|
| 39 |
+
"Embroider_Pattern": 4,
|
| 40 |
+
"Geometric_pattern": 5,
|
| 41 |
+
"Graphic_Pattern": 6,
|
| 42 |
+
"Lace_Pattern": 7,
|
| 43 |
+
"Polka_Dot_Pattern": 8,
|
| 44 |
+
"Stripes_Pattern": 9
|
| 45 |
+
},
|
| 46 |
+
"layer_norm_eps": 1e-12,
|
| 47 |
+
"model_type": "convnextv2",
|
| 48 |
+
"num_channels": 3,
|
| 49 |
+
"num_stages": 4,
|
| 50 |
+
"out_features": [
|
| 51 |
+
"stage4"
|
| 52 |
+
],
|
| 53 |
+
"out_indices": [
|
| 54 |
+
4
|
| 55 |
+
],
|
| 56 |
+
"patch_size": 4,
|
| 57 |
+
"problem_type": "single_label_classification",
|
| 58 |
+
"stage_names": [
|
| 59 |
+
"stem",
|
| 60 |
+
"stage1",
|
| 61 |
+
"stage2",
|
| 62 |
+
"stage3",
|
| 63 |
+
"stage4"
|
| 64 |
+
],
|
| 65 |
+
"torch_dtype": "float32",
|
| 66 |
+
"transformers_version": "4.44.0"
|
| 67 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 118.93805309734513,
|
| 3 |
+
"eval_accuracy": 0.875,
|
| 4 |
+
"eval_loss": 0.5796830654144287,
|
| 5 |
+
"eval_runtime": 6.4807,
|
| 6 |
+
"eval_samples_per_second": 61.722,
|
| 7 |
+
"eval_steps_per_second": 2.006
|
| 8 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9f7b9b0fd9beff1bfedf4c704237acd2522990e8dcd40a2d9d5f06a39844fc10
|
| 3 |
+
size 111520440
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"crop_pct": 0.875,
|
| 3 |
+
"do_normalize": true,
|
| 4 |
+
"do_rescale": true,
|
| 5 |
+
"do_resize": true,
|
| 6 |
+
"image_mean": [
|
| 7 |
+
0.485,
|
| 8 |
+
0.456,
|
| 9 |
+
0.406
|
| 10 |
+
],
|
| 11 |
+
"image_processor_type": "ConvNextImageProcessor",
|
| 12 |
+
"image_std": [
|
| 13 |
+
0.229,
|
| 14 |
+
0.224,
|
| 15 |
+
0.225
|
| 16 |
+
],
|
| 17 |
+
"resample": 3,
|
| 18 |
+
"rescale_factor": 0.00392156862745098,
|
| 19 |
+
"size": {
|
| 20 |
+
"shortest_edge": 224
|
| 21 |
+
}
|
| 22 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 118.93805309734513,
|
| 3 |
+
"total_flos": 1.0779764781475824e+19,
|
| 4 |
+
"train_loss": 0.10835168258996591,
|
| 5 |
+
"train_runtime": 10219.331,
|
| 6 |
+
"train_samples_per_second": 42.273,
|
| 7 |
+
"train_steps_per_second": 0.329
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,3465 @@
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|
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