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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| 5 |
+
- generated_from_trainer
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| 6 |
+
datasets:
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| 7 |
+
- imagefolder
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| 8 |
+
metrics:
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| 9 |
+
- accuracy
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| 10 |
+
model-index:
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| 11 |
+
- name: convnextv2-tiny-1k-224-finetuned-pattern-edge
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| 12 |
+
results:
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| 13 |
+
- task:
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| 14 |
+
name: Image Classification
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| 15 |
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type: image-classification
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| 16 |
+
dataset:
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| 17 |
+
name: imagefolder
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| 18 |
+
type: imagefolder
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| 19 |
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config: default
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| 20 |
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split: train
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| 21 |
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args: default
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| 22 |
+
metrics:
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| 23 |
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- name: Accuracy
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| 24 |
+
type: accuracy
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| 25 |
+
value: 0.81
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| 26 |
+
---
|
| 27 |
+
|
| 28 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 29 |
+
should probably proofread and complete it, then remove this comment. -->
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| 30 |
+
|
| 31 |
+
# convnextv2-tiny-1k-224-finetuned-pattern-edge
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| 32 |
+
|
| 33 |
+
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.
|
| 34 |
+
It achieves the following results on the evaluation set:
|
| 35 |
+
- Loss: 0.9202
|
| 36 |
+
- Accuracy: 0.81
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| 37 |
+
|
| 38 |
+
## Model description
|
| 39 |
+
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| 40 |
+
More information needed
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| 41 |
+
|
| 42 |
+
## Intended uses & limitations
|
| 43 |
+
|
| 44 |
+
More information needed
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| 45 |
+
|
| 46 |
+
## Training and evaluation data
|
| 47 |
+
|
| 48 |
+
More information needed
|
| 49 |
+
|
| 50 |
+
## Training procedure
|
| 51 |
+
|
| 52 |
+
### Training hyperparameters
|
| 53 |
+
|
| 54 |
+
The following hyperparameters were used during training:
|
| 55 |
+
- learning_rate: 5e-05
|
| 56 |
+
- train_batch_size: 32
|
| 57 |
+
- eval_batch_size: 32
|
| 58 |
+
- seed: 42
|
| 59 |
+
- gradient_accumulation_steps: 4
|
| 60 |
+
- total_train_batch_size: 128
|
| 61 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 62 |
+
- lr_scheduler_type: linear
|
| 63 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 64 |
+
- num_epochs: 120
|
| 65 |
+
|
| 66 |
+
### Training results
|
| 67 |
+
|
| 68 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 69 |
+
|:-------------:|:--------:|:----:|:---------------:|:--------:|
|
| 70 |
+
| 2.302 | 0.9912 | 28 | 2.2666 | 0.1575 |
|
| 71 |
+
| 2.2226 | 1.9823 | 56 | 2.1654 | 0.315 |
|
| 72 |
+
| 2.0639 | 2.9735 | 84 | 1.9970 | 0.445 |
|
| 73 |
+
| 1.8559 | 4.0 | 113 | 1.7373 | 0.56 |
|
| 74 |
+
| 1.5966 | 4.9912 | 141 | 1.4823 | 0.605 |
|
| 75 |
+
| 1.3967 | 5.9823 | 169 | 1.2925 | 0.6125 |
|
| 76 |
+
| 1.204 | 6.9735 | 197 | 1.0512 | 0.68 |
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| 77 |
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| 1.0206 | 8.0 | 226 | 0.9307 | 0.7025 |
|
| 78 |
+
| 0.9408 | 8.9912 | 254 | 0.8286 | 0.7425 |
|
| 79 |
+
| 0.8501 | 9.9823 | 282 | 0.8590 | 0.6975 |
|
| 80 |
+
| 0.7545 | 10.9735 | 310 | 0.7702 | 0.7475 |
|
| 81 |
+
| 0.7484 | 12.0 | 339 | 0.7739 | 0.765 |
|
| 82 |
+
| 0.6909 | 12.9912 | 367 | 0.7344 | 0.75 |
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| 83 |
+
| 0.6558 | 13.9823 | 395 | 0.6874 | 0.775 |
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| 84 |
+
| 0.5923 | 14.9735 | 423 | 0.6641 | 0.7675 |
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| 85 |
+
| 0.5764 | 16.0 | 452 | 0.6110 | 0.7925 |
|
| 86 |
+
| 0.5235 | 16.9912 | 480 | 0.6806 | 0.76 |
|
| 87 |
+
| 0.4883 | 17.9823 | 508 | 0.7903 | 0.76 |
|
| 88 |
+
| 0.4682 | 18.9735 | 536 | 0.6469 | 0.7825 |
|
| 89 |
+
| 0.441 | 20.0 | 565 | 0.6694 | 0.7825 |
|
| 90 |
+
| 0.4201 | 20.9912 | 593 | 0.7145 | 0.7625 |
|
| 91 |
+
| 0.387 | 21.9823 | 621 | 0.6505 | 0.7775 |
|
| 92 |
+
| 0.4034 | 22.9735 | 649 | 0.6169 | 0.7875 |
|
| 93 |
+
| 0.3041 | 24.0 | 678 | 0.6416 | 0.795 |
|
| 94 |
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| 0.3021 | 24.9912 | 706 | 0.6992 | 0.775 |
|
| 95 |
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| 0.2853 | 25.9823 | 734 | 0.6566 | 0.7975 |
|
| 96 |
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| 0.27 | 26.9735 | 762 | 0.6970 | 0.7825 |
|
| 97 |
+
| 0.2722 | 28.0 | 791 | 0.6863 | 0.785 |
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| 98 |
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| 0.2143 | 28.9912 | 819 | 0.6794 | 0.795 |
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| 99 |
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| 0.2238 | 29.9823 | 847 | 0.6782 | 0.7975 |
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| 100 |
+
| 0.2387 | 30.9735 | 875 | 0.6945 | 0.81 |
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| 101 |
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| 0.223 | 32.0 | 904 | 0.7377 | 0.7825 |
|
| 102 |
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| 0.2211 | 32.9912 | 932 | 0.7431 | 0.7775 |
|
| 103 |
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| 0.1882 | 33.9823 | 960 | 0.7029 | 0.815 |
|
| 104 |
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| 0.1562 | 34.9735 | 988 | 0.6887 | 0.815 |
|
| 105 |
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| 0.1689 | 36.0 | 1017 | 0.7190 | 0.7975 |
|
| 106 |
+
| 0.1886 | 36.9912 | 1045 | 0.7678 | 0.795 |
|
| 107 |
+
| 0.1887 | 37.9823 | 1073 | 0.7334 | 0.81 |
|
| 108 |
+
| 0.1531 | 38.9735 | 1101 | 0.7359 | 0.7925 |
|
| 109 |
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| 0.1662 | 40.0 | 1130 | 0.7594 | 0.8075 |
|
| 110 |
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| 0.1273 | 40.9912 | 1158 | 0.7342 | 0.81 |
|
| 111 |
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| 0.1986 | 41.9823 | 1186 | 0.7781 | 0.805 |
|
| 112 |
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| 0.1891 | 42.9735 | 1214 | 0.7376 | 0.8225 |
|
| 113 |
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| 0.1573 | 44.0 | 1243 | 0.7304 | 0.815 |
|
| 114 |
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| 0.1536 | 44.9912 | 1271 | 0.7773 | 0.8 |
|
| 115 |
+
| 0.1562 | 45.9823 | 1299 | 0.7623 | 0.8 |
|
| 116 |
+
| 0.1264 | 46.9735 | 1327 | 0.8314 | 0.7925 |
|
| 117 |
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| 0.1596 | 48.0 | 1356 | 0.7831 | 0.8175 |
|
| 118 |
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| 0.1237 | 48.9912 | 1384 | 0.7949 | 0.8 |
|
| 119 |
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| 0.1355 | 49.9823 | 1412 | 0.7813 | 0.795 |
|
| 120 |
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| 0.1251 | 50.9735 | 1440 | 0.7647 | 0.81 |
|
| 121 |
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| 0.1181 | 52.0 | 1469 | 0.7552 | 0.8175 |
|
| 122 |
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| 0.1224 | 52.9912 | 1497 | 0.8346 | 0.795 |
|
| 123 |
+
| 0.1201 | 53.9823 | 1525 | 0.7741 | 0.7975 |
|
| 124 |
+
| 0.1109 | 54.9735 | 1553 | 0.7724 | 0.785 |
|
| 125 |
+
| 0.1084 | 56.0 | 1582 | 0.7904 | 0.805 |
|
| 126 |
+
| 0.1187 | 56.9912 | 1610 | 0.7424 | 0.8125 |
|
| 127 |
+
| 0.0935 | 57.9823 | 1638 | 0.7411 | 0.815 |
|
| 128 |
+
| 0.1023 | 58.9735 | 1666 | 0.7476 | 0.81 |
|
| 129 |
+
| 0.1166 | 60.0 | 1695 | 0.7742 | 0.8175 |
|
| 130 |
+
| 0.099 | 60.9912 | 1723 | 0.7697 | 0.815 |
|
| 131 |
+
| 0.1157 | 61.9823 | 1751 | 0.8538 | 0.8 |
|
| 132 |
+
| 0.1137 | 62.9735 | 1779 | 0.8545 | 0.8125 |
|
| 133 |
+
| 0.094 | 64.0 | 1808 | 0.8463 | 0.7925 |
|
| 134 |
+
| 0.1161 | 64.9912 | 1836 | 0.8351 | 0.81 |
|
| 135 |
+
| 0.08 | 65.9823 | 1864 | 0.8610 | 0.7925 |
|
| 136 |
+
| 0.0799 | 66.9735 | 1892 | 0.8593 | 0.8075 |
|
| 137 |
+
| 0.0783 | 68.0 | 1921 | 0.8423 | 0.815 |
|
| 138 |
+
| 0.0851 | 68.9912 | 1949 | 0.8265 | 0.82 |
|
| 139 |
+
| 0.0775 | 69.9823 | 1977 | 0.8708 | 0.805 |
|
| 140 |
+
| 0.0902 | 70.9735 | 2005 | 0.8181 | 0.81 |
|
| 141 |
+
| 0.0904 | 72.0 | 2034 | 0.8297 | 0.82 |
|
| 142 |
+
| 0.0898 | 72.9912 | 2062 | 0.8464 | 0.82 |
|
| 143 |
+
| 0.1013 | 73.9823 | 2090 | 0.8325 | 0.81 |
|
| 144 |
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| 0.0726 | 74.9735 | 2118 | 0.8772 | 0.8 |
|
| 145 |
+
| 0.0745 | 76.0 | 2147 | 0.8505 | 0.8125 |
|
| 146 |
+
| 0.0891 | 76.9912 | 2175 | 0.8694 | 0.81 |
|
| 147 |
+
| 0.0791 | 77.9823 | 2203 | 0.8766 | 0.81 |
|
| 148 |
+
| 0.0639 | 78.9735 | 2231 | 0.8462 | 0.8125 |
|
| 149 |
+
| 0.0676 | 80.0 | 2260 | 0.8991 | 0.8075 |
|
| 150 |
+
| 0.0904 | 80.9912 | 2288 | 0.8551 | 0.815 |
|
| 151 |
+
| 0.0788 | 81.9823 | 2316 | 0.9302 | 0.795 |
|
| 152 |
+
| 0.0787 | 82.9735 | 2344 | 0.8706 | 0.8025 |
|
| 153 |
+
| 0.0918 | 84.0 | 2373 | 0.8680 | 0.805 |
|
| 154 |
+
| 0.0681 | 84.9912 | 2401 | 0.8481 | 0.8125 |
|
| 155 |
+
| 0.115 | 85.9823 | 2429 | 0.8553 | 0.8025 |
|
| 156 |
+
| 0.0599 | 86.9735 | 2457 | 0.8887 | 0.805 |
|
| 157 |
+
| 0.0774 | 88.0 | 2486 | 0.9255 | 0.81 |
|
| 158 |
+
| 0.0701 | 88.9912 | 2514 | 0.8795 | 0.81 |
|
| 159 |
+
| 0.074 | 89.9823 | 2542 | 0.8634 | 0.8175 |
|
| 160 |
+
| 0.0497 | 90.9735 | 2570 | 0.8793 | 0.82 |
|
| 161 |
+
| 0.0569 | 92.0 | 2599 | 0.9007 | 0.7925 |
|
| 162 |
+
| 0.0722 | 92.9912 | 2627 | 0.8701 | 0.815 |
|
| 163 |
+
| 0.0674 | 93.9823 | 2655 | 0.8880 | 0.8225 |
|
| 164 |
+
| 0.0643 | 94.9735 | 2683 | 0.8855 | 0.8075 |
|
| 165 |
+
| 0.0583 | 96.0 | 2712 | 0.8918 | 0.815 |
|
| 166 |
+
| 0.0558 | 96.9912 | 2740 | 0.8736 | 0.8275 |
|
| 167 |
+
| 0.0622 | 97.9823 | 2768 | 0.9058 | 0.815 |
|
| 168 |
+
| 0.0689 | 98.9735 | 2796 | 0.9007 | 0.8075 |
|
| 169 |
+
| 0.0782 | 100.0 | 2825 | 0.9216 | 0.8025 |
|
| 170 |
+
| 0.0696 | 100.9912 | 2853 | 0.9159 | 0.8075 |
|
| 171 |
+
| 0.0554 | 101.9823 | 2881 | 0.9195 | 0.8125 |
|
| 172 |
+
| 0.0585 | 102.9735 | 2909 | 0.9314 | 0.8125 |
|
| 173 |
+
| 0.0541 | 104.0 | 2938 | 0.8939 | 0.825 |
|
| 174 |
+
| 0.0636 | 104.9912 | 2966 | 0.9045 | 0.8025 |
|
| 175 |
+
| 0.0684 | 105.9823 | 2994 | 0.8892 | 0.8075 |
|
| 176 |
+
| 0.0608 | 106.9735 | 3022 | 0.8999 | 0.8075 |
|
| 177 |
+
| 0.0663 | 108.0 | 3051 | 0.9033 | 0.8075 |
|
| 178 |
+
| 0.054 | 108.9912 | 3079 | 0.9249 | 0.805 |
|
| 179 |
+
| 0.0538 | 109.9823 | 3107 | 0.9065 | 0.81 |
|
| 180 |
+
| 0.0696 | 110.9735 | 3135 | 0.9002 | 0.8175 |
|
| 181 |
+
| 0.0585 | 112.0 | 3164 | 0.9106 | 0.8025 |
|
| 182 |
+
| 0.0641 | 112.9912 | 3192 | 0.9088 | 0.81 |
|
| 183 |
+
| 0.0611 | 113.9823 | 3220 | 0.9152 | 0.8075 |
|
| 184 |
+
| 0.0528 | 114.9735 | 3248 | 0.9140 | 0.8125 |
|
| 185 |
+
| 0.0631 | 116.0 | 3277 | 0.9184 | 0.81 |
|
| 186 |
+
| 0.0744 | 116.9912 | 3305 | 0.9216 | 0.8125 |
|
| 187 |
+
| 0.0407 | 117.9823 | 3333 | 0.9211 | 0.8125 |
|
| 188 |
+
| 0.0573 | 118.9381 | 3360 | 0.9202 | 0.81 |
|
| 189 |
+
|
| 190 |
+
|
| 191 |
+
### Framework versions
|
| 192 |
+
|
| 193 |
+
- Transformers 4.44.0
|
| 194 |
+
- Pytorch 2.4.0
|
| 195 |
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- Datasets 2.21.0
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| 196 |
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- Tokenizers 0.19.1
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all_results.json
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| 1 |
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{
|
| 2 |
+
"epoch": 118.93805309734513,
|
| 3 |
+
"eval_accuracy": 0.81,
|
| 4 |
+
"eval_loss": 0.92020583152771,
|
| 5 |
+
"eval_runtime": 5.7177,
|
| 6 |
+
"eval_samples_per_second": 69.958,
|
| 7 |
+
"eval_steps_per_second": 2.274,
|
| 8 |
+
"total_flos": 1.0779764781475824e+19,
|
| 9 |
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"train_loss": 0.2818299961143306,
|
| 10 |
+
"train_runtime": 9749.4057,
|
| 11 |
+
"train_samples_per_second": 44.31,
|
| 12 |
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"train_steps_per_second": 0.345
|
| 13 |
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}
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config.json
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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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|
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|
|
|
|
|
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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": 0.81,
|
| 4 |
+
"eval_loss": 0.92020583152771,
|
| 5 |
+
"eval_runtime": 5.7177,
|
| 6 |
+
"eval_samples_per_second": 69.958,
|
| 7 |
+
"eval_steps_per_second": 2.274
|
| 8 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b3dc71daaccde792c4e3ec9ce65073ef930f25b7c62c2b29aeaae5e2e095cb67
|
| 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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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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|
| 1 |
+
{
|
| 2 |
+
"epoch": 118.93805309734513,
|
| 3 |
+
"total_flos": 1.0779764781475824e+19,
|
| 4 |
+
"train_loss": 0.2818299961143306,
|
| 5 |
+
"train_runtime": 9749.4057,
|
| 6 |
+
"train_samples_per_second": 44.31,
|
| 7 |
+
"train_steps_per_second": 0.345
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,3465 @@
|
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