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convnextv2-base-1k-224-for-pre_evaluation

Image Classification
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PyTorch
convnextv2
Generated from Trainer
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  1. README.md +34 -32
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/convnextv2-base-1k-224](https://huggingface.co/facebook/convnextv2-base-1k-224) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4479
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- - Accuracy: 0.4382
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  ## Model description
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@@ -52,39 +52,41 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.5952 | 0.93 | 10 | 1.5511 | 0.2960 |
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- | 1.5238 | 1.95 | 21 | 1.5091 | 0.3427 |
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- | 1.4881 | 2.98 | 32 | 1.4854 | 0.3450 |
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- | 1.4708 | 4.0 | 43 | 1.4616 | 0.3473 |
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- | 1.4361 | 4.93 | 53 | 1.4417 | 0.3450 |
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- | 1.3764 | 5.95 | 64 | 1.4135 | 0.3753 |
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- | 1.3333 | 6.98 | 75 | 1.3822 | 0.3986 |
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- | 1.3296 | 8.0 | 86 | 1.4112 | 0.3636 |
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- | 1.2798 | 8.93 | 96 | 1.4038 | 0.3893 |
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- | 1.3129 | 9.95 | 107 | 1.4241 | 0.3776 |
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- | 1.3014 | 10.98 | 118 | 1.3570 | 0.3893 |
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- | 1.2332 | 12.0 | 129 | 1.4073 | 0.3893 |
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- | 1.212 | 12.93 | 139 | 1.3770 | 0.4033 |
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- | 1.1763 | 13.95 | 150 | 1.3891 | 0.3963 |
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- | 1.124 | 14.98 | 161 | 1.3915 | 0.4126 |
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- | 1.0963 | 16.0 | 172 | 1.4099 | 0.4149 |
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- | 1.0547 | 16.93 | 182 | 1.4206 | 0.4033 |
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- | 1.0631 | 17.95 | 193 | 1.4041 | 0.4196 |
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- | 0.9911 | 18.98 | 204 | 1.4272 | 0.4149 |
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- | 1.005 | 20.0 | 215 | 1.4211 | 0.4219 |
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- | 0.9663 | 20.93 | 225 | 1.4662 | 0.4009 |
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- | 0.9533 | 21.95 | 236 | 1.4286 | 0.4336 |
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- | 0.9506 | 22.98 | 247 | 1.4135 | 0.4312 |
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- | 0.8973 | 24.0 | 258 | 1.4428 | 0.4266 |
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- | 0.8807 | 24.93 | 268 | 1.4479 | 0.4382 |
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- | 0.8731 | 25.95 | 279 | 1.4429 | 0.4289 |
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- | 0.8472 | 26.98 | 290 | 1.4461 | 0.4312 |
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- | 0.8348 | 27.91 | 300 | 1.4531 | 0.4336 |
 
 
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  ### Framework versions
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- - Transformers 4.32.1
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  - Pytorch 2.0.1+cu118
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- - Datasets 2.14.4
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  - Tokenizers 0.13.3
 
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  This model is a fine-tuned version of [facebook/convnextv2-base-1k-224](https://huggingface.co/facebook/convnextv2-base-1k-224) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.7475
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+ - Accuracy: 0.3520
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.6 | 1.0 | 16 | 1.5316 | 0.2961 |
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+ | 1.5084 | 2.0 | 32 | 1.5061 | 0.2849 |
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+ | 1.5134 | 3.0 | 48 | 1.4968 | 0.3240 |
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+ | 1.4663 | 4.0 | 64 | 1.4607 | 0.3352 |
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+ | 1.4046 | 5.0 | 80 | 1.4509 | 0.3268 |
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+ | 1.4085 | 6.0 | 96 | 1.4423 | 0.3883 |
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+ | 1.3443 | 7.0 | 112 | 1.4005 | 0.4022 |
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+ | 1.3025 | 8.0 | 128 | 1.3599 | 0.4190 |
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+ | 1.2627 | 9.0 | 144 | 1.3638 | 0.3911 |
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+ | 1.2099 | 10.0 | 160 | 1.4058 | 0.3492 |
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+ | 1.2086 | 11.0 | 176 | 1.4431 | 0.3408 |
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+ | 1.1393 | 12.0 | 192 | 1.4143 | 0.3492 |
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+ | 1.1039 | 13.0 | 208 | 1.4305 | 0.3883 |
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+ | 1.0551 | 14.0 | 224 | 1.5203 | 0.3520 |
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+ | 1.0368 | 15.0 | 240 | 1.5117 | 0.3324 |
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+ | 0.9753 | 16.0 | 256 | 1.4545 | 0.3771 |
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+ | 0.938 | 17.0 | 272 | 1.5396 | 0.3352 |
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+ | 0.899 | 18.0 | 288 | 1.5770 | 0.3408 |
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+ | 0.8629 | 19.0 | 304 | 1.7106 | 0.3128 |
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+ | 0.8674 | 20.0 | 320 | 1.5864 | 0.3352 |
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+ | 0.7789 | 21.0 | 336 | 1.6129 | 0.3408 |
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+ | 0.7426 | 22.0 | 352 | 1.6353 | 0.3603 |
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+ | 0.7677 | 23.0 | 368 | 1.6793 | 0.3464 |
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+ | 0.7172 | 24.0 | 384 | 1.6759 | 0.3575 |
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+ | 0.6809 | 25.0 | 400 | 1.7013 | 0.3659 |
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+ | 0.6619 | 26.0 | 416 | 1.7108 | 0.3631 |
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+ | 0.6656 | 27.0 | 432 | 1.7327 | 0.3715 |
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+ | 0.6258 | 28.0 | 448 | 1.7378 | 0.3547 |
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+ | 0.6173 | 29.0 | 464 | 1.7461 | 0.3603 |
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+ | 0.6214 | 30.0 | 480 | 1.7475 | 0.3520 |
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  ### Framework versions
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+ - Transformers 4.33.1
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  - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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  - Tokenizers 0.13.3
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