Model save
Browse files- README.md +50 -0
- config.json +72 -0
- logs/events.out.tfevents.1738068148.d82eda98f87c.3189.0 +3 -0
- model.safetensors +3 -0
- preprocessor_config.json +23 -0
- training_args.bin +3 -0
README.md
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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: microsoft/swin-base-patch4-window7-224
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tags:
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- generated_from_trainer
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model-index:
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- name: swin-base-patch4-window7-224_rice-leaf-disease-augmented_fft_012825
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results: []
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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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# swin-base-patch4-window7-224_rice-leaf-disease-augmented_fft_012825
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This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patch4-window7-224) on an unknown dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 64
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- eval_batch_size: 64
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 20
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### Framework versions
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- Transformers 4.47.1
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- Pytorch 2.5.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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config.json
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{
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"_name_or_path": "microsoft/swin-base-patch4-window7-224",
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"architectures": [
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"SwinForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"depths": [
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2,
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2,
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18,
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2
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],
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"drop_path_rate": 0.1,
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"embed_dim": 128,
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"encoder_stride": 32,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 1024,
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"id2label": {
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"0": "Bacterial Leaf Blight",
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"1": "Brown Spot",
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"2": "Healthy Rice Leaf",
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"3": "Leaf Blast",
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"4": "Leaf Scald",
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"5": "Narrow Brown Leaf Spot",
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"6": "Rice Hispa",
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"7": "Sheath Blight"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"label2id": {
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"Bacterial Leaf Blight": 0,
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"Brown Spot": 1,
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"Healthy Rice Leaf": 2,
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"Leaf Blast": 3,
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"Leaf Scald": 4,
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"Narrow Brown Leaf Spot": 5,
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"Rice Hispa": 6,
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"Sheath Blight": 7
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},
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"layer_norm_eps": 1e-05,
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"mlp_ratio": 4.0,
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"model_type": "swin",
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"num_channels": 3,
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"num_heads": [
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4,
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8,
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16,
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32
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],
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"num_layers": 4,
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"out_features": [
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"stage4"
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],
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"out_indices": [
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4
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],
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"patch_size": 4,
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"path_norm": true,
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"qkv_bias": true,
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"stage_names": [
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"stem",
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"stage1",
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"stage2",
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"stage3",
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"stage4"
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],
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"torch_dtype": "float32",
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"transformers_version": "4.47.1",
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"use_absolute_embeddings": false,
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"window_size": 7
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}
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logs/events.out.tfevents.1738068148.d82eda98f87c.3189.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:1bdad132bf89c7f93c1a4d9092a7e01caac7167a70f1813f9542da58c96428d1
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size 88
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b70719da559881f946026fedb93a6972274653ace59fc7eccd94add9259996a7
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size 347523416
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preprocessor_config.json
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{
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"do_convert_rgb": null,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.485,
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0.456,
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0.406
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],
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"image_processor_type": "ViTImageProcessor",
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 224,
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"width": 224
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}
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:bc5c350138816cd7209fe323f2263e2a4745e35cb5f15e6d9c4b1f9690abd1ed
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size 5496
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