diegola123 commited on
Commit
3e12252
1 Parent(s): 0e0104b

End of training

Browse files
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9885185185185185
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0380
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- - Accuracy: 0.9885
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  ## Model description
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@@ -67,18 +67,18 @@ 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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- | 0.1706 | 1.0 | 190 | 0.1626 | 0.9644 |
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- | 0.0842 | 2.0 | 380 | 0.0780 | 0.9785 |
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- | 0.0493 | 3.0 | 570 | 0.0536 | 0.9837 |
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- | 0.0504 | 4.0 | 760 | 0.0492 | 0.9830 |
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- | 0.0382 | 5.0 | 950 | 0.0425 | 0.9881 |
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- | 0.0316 | 6.0 | 1140 | 0.0401 | 0.9867 |
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- | 0.0252 | 7.0 | 1330 | 0.0380 | 0.9885 |
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  ### Framework versions
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- - Transformers 4.40.0.dev0
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.0
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9833333333333333
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  ---
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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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  This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0546
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+ - Accuracy: 0.9833
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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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+ | 0.1696 | 1.0 | 190 | 0.1738 | 0.9559 |
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+ | 0.0887 | 2.0 | 380 | 0.0837 | 0.9770 |
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+ | 0.0483 | 3.0 | 570 | 0.0790 | 0.9774 |
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+ | 0.0387 | 4.0 | 760 | 0.0701 | 0.9793 |
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+ | 0.0454 | 5.0 | 950 | 0.0595 | 0.9826 |
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+ | 0.0215 | 6.0 | 1140 | 0.0574 | 0.9819 |
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+ | 0.0281 | 7.0 | 1330 | 0.0546 | 0.9833 |
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  ### Framework versions
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+ - Transformers 4.35.2
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.0
config.json CHANGED
@@ -64,5 +64,5 @@
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  "stage4"
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  ],
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  "torch_dtype": "float32",
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- "transformers_version": "4.40.0.dev0"
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  }
 
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  "stage4"
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  "torch_dtype": "float32",
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  "crop_pct": 0.875,
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  "do_normalize": true,
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