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ConvnextV2-tiny

Image Classification
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convnextv2
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  1. README.md +50 -0
  2. config.json +106 -0
  3. model.safetensors +3 -0
  4. preprocessor_config.json +37 -0
  5. runs/May21_05-14-30_afcb6ddf64bd/events.out.tfevents.1716268829.afcb6ddf64bd.34.0 +3 -0
  6. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: facebook/convnextv2-base-22k-384
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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: ConvnextV2-base
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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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+ # ConvnextV2-base
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+
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+ This model is a fine-tuned version of [facebook/convnextv2-base-22k-384](https://huggingface.co/facebook/convnextv2-base-22k-384) on the imagefolder dataset.
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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: 0.0003
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+ - train_batch_size: 32
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 10
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.1.2
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ {
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+ "_name_or_path": "facebook/convnextv2-base-22k-384",
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+ "architectures": [
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+ "ConvNextV2ForImageClassification"
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+ ],
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+ "depths": [
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+ 3,
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+ ],
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+ "hidden_act": "gelu",
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+ "id2label": {
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