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bliebfl
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swin-tiny-patch4-window7-224-finetuned-kuzushiji

Image Classification
Transformers
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
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  1. README.md +53 -0
  2. config.json +1246 -20
  3. model.safetensors +2 -2
  4. preprocessor_config.json +14 -9
  5. runs/Dec14_10-55-24_8207bd653e3e/events.out.tfevents.1702551348.8207bd653e3e.4746.0 +3 -0
  6. runs/Dec14_11-21-00_bc148a6f3d4e/events.out.tfevents.1702552867.bc148a6f3d4e.5286.0 +3 -0
  7. runs/Dec14_11-27-00_bc148a6f3d4e/events.out.tfevents.1702553231.bc148a6f3d4e.5286.1 +3 -0
  8. runs/Dec14_15-25-42_bc148a6f3d4e/events.out.tfevents.1702567586.bc148a6f3d4e.66026.0 +3 -0
  9. training_args.bin +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: microsoft/swin-tiny-patch4-window7-224
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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: swin-tiny-patch4-window7-224-finetuned-eurosat
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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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+ # swin-tiny-patch4-window7-224-finetuned-eurosat
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+
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+ This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) 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: 5e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 128
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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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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 3
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.1
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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- "2": "HerbaceousVegetation",
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