Training in progress, step 100

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+model-index:
+- name: ViT_Sunflower
+  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_Sunflower
+
+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: 0.0002
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu124
+- Tokenizers 0.21.0

all_results.json

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+{
+    "eval_accuracy": 0.38095238095238093,
+    "eval_loss": 1.3611690998077393,
+    "eval_model_preparation_time": 0.008,
+    "eval_runtime": 244.5697,
+    "eval_samples_per_second": 1.546,
+    "eval_steps_per_second": 0.196
+}

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": "Downy mildew",
+    "1": "Gray mold",
+    "2": "Healthy",
+    "3": "Leaf scars"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Downy mildew": "0",
+    "Gray mold": "1",
+    "Healthy": "2",
+    "Leaf scars": "3"
+  },
+  "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": "4.47.1"
+}

eval_results.json

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+{
+    "eval_accuracy": 0.38095238095238093,
+    "eval_loss": 1.3611690998077393,
+    "eval_model_preparation_time": 0.008,
+    "eval_runtime": 244.5697,
+    "eval_samples_per_second": 1.546,
+    "eval_steps_per_second": 0.196
+}

model.safetensors

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+size 343230128

preprocessor_config.json

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+{
+  "do_convert_rgb": null,
+  "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/Feb01_06-13-40_90d20fb91db9/events.out.tfevents.1738390897.90d20fb91db9.559.0

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runs/Feb01_06-24-14_90d20fb91db9/events.out.tfevents.1738391090.90d20fb91db9.559.1

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training_args.bin

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