End of training

README.md

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+---
+license: apache-2.0
+base_model: google/vit-large-patch16-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: 0.50-Train-Test-vit-large
+  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. -->
+
+# 0.50-Train-Test-vit-large
+
+This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8804
+- Accuracy: 0.8098
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 25
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 2.3722        | 0.9825  | 14   | 1.8140          | 0.3758   |
+| 1.7117        | 1.9649  | 28   | 0.9446          | 0.7383   |
+| 0.3741        | 2.9474  | 42   | 0.8083          | 0.7338   |
+| 0.1709        | 4.0     | 57   | 0.7460          | 0.7562   |
+| 0.0166        | 4.9825  | 71   | 0.7632          | 0.7763   |
+| 0.0087        | 5.9649  | 85   | 0.9165          | 0.7629   |
+| 0.013         | 6.9474  | 99   | 0.8161          | 0.7942   |
+| 0.0029        | 8.0     | 114  | 0.8216          | 0.7964   |
+| 0.0016        | 8.9825  | 128  | 0.8461          | 0.7919   |
+| 0.0009        | 9.9649  | 142  | 0.8528          | 0.7919   |
+| 0.0007        | 10.9474 | 156  | 0.8539          | 0.8031   |
+| 0.0006        | 12.0    | 171  | 0.8586          | 0.8054   |
+| 0.0006        | 12.9825 | 185  | 0.8622          | 0.8076   |
+| 0.0005        | 13.9649 | 199  | 0.8649          | 0.8098   |
+| 0.0005        | 14.9474 | 213  | 0.8677          | 0.8098   |
+| 0.0005        | 16.0    | 228  | 0.8706          | 0.8098   |
+| 0.0004        | 16.9825 | 242  | 0.8729          | 0.8098   |
+| 0.0004        | 17.9649 | 256  | 0.8747          | 0.8098   |
+| 0.0004        | 18.9474 | 270  | 0.8764          | 0.8076   |
+| 0.0004        | 20.0    | 285  | 0.8776          | 0.8098   |
+| 0.0004        | 20.9825 | 299  | 0.8789          | 0.8076   |
+| 0.0003        | 21.9649 | 313  | 0.8794          | 0.8098   |
+| 0.0003        | 22.9474 | 327  | 0.8801          | 0.8098   |
+| 0.0003        | 24.0    | 342  | 0.8804          | 0.8098   |
+| 0.0003        | 24.5614 | 350  | 0.8804          | 0.8098   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,52 @@
+{
+  "_name_or_path": "google/vit-large-patch16-224",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "Abnormal",
+    "1": "Erythrodermic",
+    "2": "Guttate",
+    "3": "Inverse",
+    "4": "Nail",
+    "5": "Normal",
+    "6": "Not Define",
+    "7": "Palm Soles",
+    "8": "Plaque",
+    "9": "Psoriatic Arthritis",
+    "10": "Pustular",
+    "11": "Scalp"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "Abnormal": 0,
+    "Erythrodermic": 1,
+    "Guttate": 2,
+    "Inverse": 3,
+    "Nail": 4,
+    "Normal": 5,
+    "Not Define": 6,
+    "Palm Soles": 7,
+    "Plaque": 8,
+    "Psoriatic Arthritis": 9,
+    "Pustular": 10,
+    "Scalp": 11
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 16,
+  "num_channels": 3,
+  "num_hidden_layers": 24,
+  "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 1213302272

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/Jun21_18-29-41_a36257f75335/events.out.tfevents.1718994582.a36257f75335.34.0

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training_args.bin

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