hbjoo

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- image-classification
+- ViT
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: vit-base-beans-demo-v5
+  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-demo-v5
+
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2667
+- Accuracy: 0.9453
+
+## 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: 0.0002
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.0045        | 1.5385 | 100  | 0.0047          | 1.0      |
+| 0.0032        | 3.0769 | 200  | 0.0034          | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.9453125,
+    "eval_loss": 0.26672494411468506,
+    "eval_runtime": 2.2262,
+    "eval_samples_per_second": 57.497,
+    "eval_steps_per_second": 7.187,
+    "total_flos": 3.205097416476426e+17,
+    "train_loss": 0.004694984795955511,
+    "train_runtime": 92.0924,
+    "train_samples_per_second": 44.911,
+    "train_steps_per_second": 2.823
+}

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,
+  "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": "4.41.2"
+}

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": "ViTFeatureExtractor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

runs/Jul04_01-50-29_1c8bd75ea4e4/events.out.tfevents.1720059259.1c8bd75ea4e4.3722.0

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runs/Jul04_01-50-29_1c8bd75ea4e4/events.out.tfevents.1720059399.1c8bd75ea4e4.3722.1

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runs/Jul04_01-50-29_1c8bd75ea4e4/events.out.tfevents.1720060008.1c8bd75ea4e4.3722.2

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test_results.json

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+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.9453125,
+    "eval_loss": 0.26672494411468506,
+    "eval_runtime": 2.2262,
+    "eval_samples_per_second": 57.497,
+    "eval_steps_per_second": 7.187
+}

train_results.json

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+{
+    "epoch": 4.0,
+    "total_flos": 3.205097416476426e+17,
+    "train_loss": 0.004694984795955511,
+    "train_runtime": 92.0924,
+    "train_samples_per_second": 44.911,
+    "train_steps_per_second": 2.823
+}

training_args.bin

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