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BTX24
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convnextv2-base-22k-224-finetuned-tekno24

Image Classification
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Safetensors
convnextv2
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  1. README.md +19 -18
  2. model.safetensors +1 -1
  3. runs/Sep05_08-10-30_43d6627a09b0/events.out.tfevents.1725523840.43d6627a09b0.309.0 +2 -2
README.md CHANGED
@@ -1,4 +1,5 @@
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  ---
 
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  license: apache-2.0
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  base_model: facebook/convnextv2-base-22k-224
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  tags:
@@ -20,11 +21,11 @@ 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-22k-224](https://huggingface.co/facebook/convnextv2-base-22k-224) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9468
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- - Accuracy: 0.5932
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- - F1: 0.5674
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- - Precision: 0.5709
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- - Recall: 0.5932
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  ## Model description
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@@ -59,23 +60,23 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 1.2755 | 0.9963 | 68 | 1.2008 | 0.4904 | 0.3910 | 0.4577 | 0.4904 |
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- | 1.1711 | 1.9927 | 136 | 1.0651 | 0.5354 | 0.4766 | 0.4865 | 0.5354 |
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- | 1.1599 | 2.9890 | 204 | 1.0533 | 0.5418 | 0.5077 | 0.5275 | 0.5418 |
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- | 1.1595 | 4.0 | 273 | 1.0423 | 0.5455 | 0.5414 | 0.5691 | 0.5455 |
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- | 1.096 | 4.9963 | 341 | 1.0160 | 0.5611 | 0.5463 | 0.5419 | 0.5611 |
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- | 1.0592 | 5.9927 | 409 | 0.9847 | 0.5767 | 0.5415 | 0.5485 | 0.5767 |
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- | 1.0706 | 6.9890 | 477 | 0.9868 | 0.5886 | 0.5836 | 0.5862 | 0.5886 |
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- | 1.0404 | 8.0 | 546 | 0.9758 | 0.5868 | 0.5737 | 0.5695 | 0.5868 |
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- | 1.0059 | 8.9963 | 614 | 0.9468 | 0.5932 | 0.5674 | 0.5709 | 0.5932 |
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- | 0.965 | 9.9927 | 682 | 0.9565 | 0.5932 | 0.5804 | 0.5858 | 0.5932 |
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- | 0.9362 | 10.9890 | 750 | 0.9466 | 0.5886 | 0.5778 | 0.5768 | 0.5886 |
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- | 0.9334 | 11.9560 | 816 | 0.9442 | 0.5859 | 0.5700 | 0.5692 | 0.5859 |
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  ### Framework versions
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- - Transformers 4.42.4
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  - Pytorch 2.4.0+cu121
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  - Datasets 2.21.0
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  - Tokenizers 0.19.1
 
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  ---
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+ library_name: transformers
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  license: apache-2.0
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  base_model: facebook/convnextv2-base-22k-224
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  tags:
 
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  This model is a fine-tuned version of [facebook/convnextv2-base-22k-224](https://huggingface.co/facebook/convnextv2-base-22k-224) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9135
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+ - Accuracy: 0.5954
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+ - F1: 0.5879
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+ - Precision: 0.5865
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+ - Recall: 0.5954
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 1.3179 | 0.9968 | 78 | 1.2415 | 0.4207 | 0.3979 | 0.4642 | 0.4207 |
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+ | 1.1998 | 1.9936 | 156 | 1.0769 | 0.5103 | 0.4525 | 0.5309 | 0.5103 |
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+ | 1.168 | 2.9904 | 234 | 1.0573 | 0.5494 | 0.5033 | 0.5605 | 0.5494 |
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+ | 1.1107 | 4.0 | 313 | 0.9924 | 0.5540 | 0.5163 | 0.5257 | 0.5540 |
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+ | 1.1062 | 4.9968 | 391 | 1.0018 | 0.5747 | 0.5507 | 0.5660 | 0.5747 |
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+ | 1.0331 | 5.9936 | 469 | 0.9901 | 0.5931 | 0.5768 | 0.6202 | 0.5931 |
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+ | 1.0409 | 6.9904 | 547 | 0.9634 | 0.5747 | 0.5723 | 0.5722 | 0.5747 |
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+ | 1.0176 | 8.0 | 626 | 0.9504 | 0.5931 | 0.5834 | 0.5814 | 0.5931 |
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+ | 0.995 | 8.9968 | 704 | 0.9584 | 0.5908 | 0.5854 | 0.5853 | 0.5908 |
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+ | 0.9937 | 9.9936 | 782 | 0.9339 | 0.6023 | 0.5934 | 0.5894 | 0.6023 |
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+ | 0.9387 | 10.9904 | 860 | 0.9120 | 0.6138 | 0.5996 | 0.5969 | 0.6138 |
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+ | 0.9324 | 11.9617 | 936 | 0.9135 | 0.5954 | 0.5879 | 0.5865 | 0.5954 |
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  ### Framework versions
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+ - Transformers 4.44.2
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  - Pytorch 2.4.0+cu121
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  - Datasets 2.21.0
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  - Tokenizers 0.19.1
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