Model save

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+model-index:
+- name: vit-base-beans
+ results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# vit-base-beans
+
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 1337
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

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+{
+ "_name_or_path": "google/vit-base-patch16-224-in21k",
+ "architectures": [
+ "ViTForImageClassification"
+ ],
+ "attention_probs_dropout_prob": 0.0,
+ "encoder_stride": 16,
+ "finetuning_task": "image-classification",
+ "hidden_act": "gelu",
+ "hidden_dropout_prob": 0.0,
+ "hidden_size": 768,
+ "id2label": {
+ "0": "angular_leaf_spot",
+ "1": "bean_rust",
+ "2": "healthy"
+ },
+ "image_size": 224,
+ "initializer_range": 0.02,
+ "intermediate_size": 3072,
+ "label2id": {
+ "angular_leaf_spot": "0",
+ "bean_rust": "1",
+ "healthy": "2"
+ },
+ "layer_norm_eps": 1e-12,
+ "model_type": "vit",
+ "num_attention_heads": 12,
+ "num_channels": 3,
+ "num_hidden_layers": 12,
+ "patch_size": 16,
+ "problem_type": "single_label_classification",
+ "qkv_bias": true,
+ "torch_dtype": "float32",
+ "transformers_version": "4.41.0"
+}

model.safetensors

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+size 343227052

preprocessor_config.json

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+{
+ "_valid_processor_keys": [
+ "images",
+ "do_resize",
+ "size",
+ "resample",
+ "do_rescale",
+ "rescale_factor",
+ "do_normalize",
+ "image_mean",
+ "image_std",
+ "return_tensors",
+ "data_format",
+ "input_data_format"
+ ],
+ "do_normalize": true,
+ "do_rescale": true,
+ "do_resize": true,
+ "image_mean": [
+ 0.5,
+ 0.5,
+ 0.5
+ ],
+ "image_processor_type": "ViTImageProcessor",
+ "image_std": [
+ 0.5,
+ 0.5,
+ 0.5
+ ],
+ "resample": 2,
+ "rescale_factor": 0.00392156862745098,
+ "size": {
+ "height": 224,
+ "width": 224
+ }
+}

runs/May22_14-34-34_DL-Station/events.out.tfevents.1716356128.DL-Station.2861848.0

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+size 11996

training_args.bin

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