End of training

README.md

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+---
+license: apache-2.0
+base_model: microsoft/swinv2-large-patch4-window12-192-22k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: Psoriasis-500-100aug-224-swinv2-large
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8305676855895197
+---
+
+<!-- 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. -->
+
+# Psoriasis-500-100aug-224-swinv2-large
+
+This model is a fine-tuned version of [microsoft/swinv2-large-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-large-patch4-window12-192-22k) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9383
+- Accuracy: 0.8306
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.8251        | 0.9840 | 46   | 0.8572          | 0.7118   |
+| 0.3662        | 1.9893 | 93   | 0.8063          | 0.7389   |
+| 0.1443        | 2.9947 | 140  | 0.8198          | 0.7755   |
+| 0.0974        | 4.0    | 187  | 0.8232          | 0.8105   |
+| 0.0464        | 4.9840 | 233  | 0.9549          | 0.7904   |
+| 0.0234        | 5.9893 | 280  | 0.9775          | 0.7956   |
+| 0.0125        | 6.9947 | 327  | 0.9146          | 0.8192   |
+| 0.0066        | 8.0    | 374  | 0.9364          | 0.8279   |
+| 0.0025        | 8.9840 | 420  | 0.9412          | 0.8288   |
+| 0.0006        | 9.8396 | 460  | 0.9383          | 0.8306   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "microsoft/swinv2-large-patch4-window12-192-22k",
+  "architectures": [
+    "Swinv2ForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    2,
+    2,
+    18,
+    2
+  ],
+  "drop_path_rate": 0.1,
+  "embed_dim": 192,
+  "encoder_stride": 32,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1536,
+  "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": 192,
+  "initializer_range": 0.02,
+  "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-05,
+  "mlp_ratio": 4.0,
+  "model_type": "swinv2",
+  "num_channels": 3,
+  "num_heads": [
+    6,
+    12,
+    24,
+    48
+  ],
+  "num_layers": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "path_norm": true,
+  "pretrained_window_sizes": [
+    0,
+    0,
+    0,
+    0
+  ],
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "use_absolute_embeddings": false,
+  "window_size": 12
+}

model.safetensors

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+size 780947768

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": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 192,
+    "width": 192
+  }
+}

runs/Jun28_11-22-13_40ede51d48df/events.out.tfevents.1719573734.40ede51d48df.34.0

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+size 18999

training_args.bin

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