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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/convnext-base-224
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- tags:
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- - generated_from_trainer
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- datasets:
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- - imagefolder
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- model-index:
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- - name: convnext_model
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- results: []
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- ---
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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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- should probably proofread and complete it, then remove this comment. -->
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-
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- # convnext_model
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-
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- This model is a fine-tuned version of [facebook/convnext-base-224](https://huggingface.co/facebook/convnext-base-224) on the imagefolder dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.0938
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-
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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- ## Training procedure
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-
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- ### Training hyperparameters
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-
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- The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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- - seed: 42
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- - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- - lr_scheduler_type: linear
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- - num_epochs: 3
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 0.1354 | 1.0 | 100 | 0.1389 |
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- | 0.0441 | 2.0 | 200 | 0.1151 |
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- | 0.0093 | 3.0 | 300 | 0.0938 |
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-
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-
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- ### Framework versions
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-
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- - Transformers 4.46.3
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- - Pytorch 2.5.1+cu124
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- - Datasets 3.1.0
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- - Tokenizers 0.20.3
 
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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/convnext-base-224
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+ tags:
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+ - generated_from_trainer
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+ datasets:
8
+ - imagefolder
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+ model-index:
10
+ - name: convnext_model
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+ results: []
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+ ---
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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
15
+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # convnext_model
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+
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+ This model is a fine-tuned version of [facebook/convnext-base-224](https://huggingface.co/facebook/convnext-base-224) on the imagefolder dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0713
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.1354 | 1.0 | 100 | 0.1389 |
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+ | 0.0441 | 2.0 | 200 | 0.1151 |
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+ | 0.0093 | 3.0 | 300 | 0.0938 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.3
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3