diegola123
commited on
Commit
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Parent(s):
0e0104b
End of training
Browse files
README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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.
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- Accuracy: 0.
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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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### Framework versions
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- Transformers 4.
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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
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config.json
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"stage4"
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],
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"torch_dtype": "float32",
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"transformers_version": "4.
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}
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"stage4"
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],
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"torch_dtype": "float32",
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"transformers_version": "4.35.2"
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}
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model.safetensors
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preprocessor_config.json
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{
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"_valid_processor_keys": [
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"images",
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"do_resize",
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"size",
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"crop_pct",
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"image_std",
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"return_tensors",
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"data_format",
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"input_data_format"
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"crop_pct": 0.875,
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"do_normalize": true,
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"do_rescale": true,
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"crop_pct": 0.875,
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"do_normalize": true,
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"do_rescale": true,
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runs/Apr14_09-42-51_3b476d5fbef2/events.out.tfevents.1713087772.3b476d5fbef2.231.0
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runs/Apr14_09-42-51_3b476d5fbef2/events.out.tfevents.1713088227.3b476d5fbef2.231.1
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training_args.bin
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