Model save

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: Fine-Tuned_Model3_training_for_2_class
+  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. -->
+
+# Fine-Tuned_Model3_training_for_2_class
+
+This model was trained from scratch on the imagefolder 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: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "/content/drive/MyDrive/Fine-Tuned_Model3_Transfer_learning",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "class_weights": {
+    "0": 1.0,
+    "1": 1.0,
+    "10": 1.0,
+    "2": 1.0,
+    "3": 1.0,
+    "4": 1.0,
+    "5": 0.0,
+    "6": 1.0,
+    "7": 1.0,
+    "8": 1.0,
+    "9": 1.0
+  },
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "helicopter",
+    "1": "table"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "helicopter": "0",
+    "table": "1"
+  },
+  "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": "4.38.1"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
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+size 343223968

preprocessor_config.json

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+{
+  "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/Feb22_06-52-04_c2f311ced6da/events.out.tfevents.1708584728.c2f311ced6da.34741.0

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runs/Feb22_06-53-10_c2f311ced6da/events.out.tfevents.1708584800.c2f311ced6da.34741.1

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training_args.bin

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