Model save
Browse files- README.md +50 -0
- config.json +43 -0
- logs/events.out.tfevents.1738382245.4c5281297147.453.0 +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: google/vit-base-patch16-224
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tags:
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- generated_from_trainer
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model-index:
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- name: vit-base-patch16-224_rice-leaf-disease-augmented_tl_020125
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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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# vit-base-patch16-224_rice-leaf-disease-augmented_tl_020125
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) 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: 0.0001
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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: 15
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### Framework versions
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- Transformers 4.47.1
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- Pytorch 2.5.1+cu124
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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": "google/vit-base-patch16-224",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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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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"intermediate_size": 3072,
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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-12,
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"model_type": "vit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.47.1"
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}
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logs/events.out.tfevents.1738382245.4c5281297147.453.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:6affd5f0de56c9e03c082285899b8072e38d99724812989011842e148ac8f956
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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 sha256:4418e7b9114d273d8600f5eb4e4dcffffbffcc90f7bf52600b4f70a2070f75a9
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size 343242432
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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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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "ViTImageProcessor",
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"resample": 2,
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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 sha256:566d0c30e623018ebcde47d934780a0ca8c84b69d580260f3a3112f406398f03
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size 5496
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