Training in progress, epoch 0

README.md

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+---
+license: apache-2.0
+base_model: microsoft/swin-tiny-patch4-window7-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: swin-tiny-patch4-window7-224-finetuned-bootcamp
+  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. -->
+
+# swin-tiny-patch4-window7-224-finetuned-bootcamp
+
+This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) 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: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 100
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "microsoft/swin-tiny-patch4-window7-224",
+  "architectures": [
+    "SwinForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    2,
+    2,
+    6,
+    2
+  ],
+  "drop_path_rate": 0.1,
+  "embed_dim": 96,
+  "encoder_stride": 32,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "corrugation",
+    "1": "corrugation flaking_multiple squat",
+    "2": "corrugation spalling",
+    "3": "crack",
+    "4": "crack flaking spalling",
+    "5": "crack flaking spalling_multiple",
+    "6": "crack flaking spalling_multiple squat",
+    "7": "crack flaking_multiple",
+    "8": "crack flaking_multiple spalling squat",
+    "9": "crack flaking_multiple spalling_multiple",
+    "10": "crack flaking_multiple spalling_multiple squat",
+    "11": "crack flaking_multiple spalling_multiple squat_multiple",
+    "12": "crack flaking_multiple squat",
+    "13": "crack spalling",
+    "14": "crack spalling squat",
+    "15": "crack spalling_multiple",
+    "16": "crack spalling_multiple squat",
+    "17": "crack spalling_multiple squat_multiple",
+    "18": "crack squat",
+    "19": "crack_multiple",
+    "20": "crack_multiple flaking spalling squat",
+    "21": "crack_multiple flaking spalling squat_multiple",
+    "22": "crack_multiple flaking spalling_multiple",
+    "23": "crack_multiple flaking spalling_multiple squat",
+    "24": "crack_multiple flaking spalling_multiple squat_multiple",
+    "25": "crack_multiple flaking_multiple",
+    "26": "crack_multiple flaking_multiple spalling",
+    "27": "crack_multiple flaking_multiple spalling squat",
+    "28": "crack_multiple flaking_multiple spalling squat_multiple",
+    "29": "crack_multiple flaking_multiple spalling_multiple",
+    "30": "crack_multiple flaking_multiple spalling_multiple squat",
+    "31": "crack_multiple flaking_multiple spalling_multiple squat_multiple",
+    "32": "crack_multiple flaking_multiple squat",
+    "33": "crack_multiple spalling",
+    "34": "crack_multiple spalling squat",
+    "35": "crack_multiple spalling squat_multiple",
+    "36": "crack_multiple spalling_multiple",
+    "37": "crack_multiple spalling_multiple squat",
+    "38": "crack_multiple spalling_multiple squat_multiple",
+    "39": "crack_multiple squat",
+    "40": "crack_multiple squat_multiple",
+    "41": "empty",
+    "42": "flaking",
+    "43": "flaking putus spalling_multiple",
+    "44": "flaking spalling",
+    "45": "flaking spalling squat",
+    "46": "flaking spalling_multiple",
+    "47": "flaking spalling_multiple squat",
+    "48": "flaking squat",
+    "49": "flaking squat_multiple",
+    "50": "flaking_multiple",
+    "51": "flaking_multiple spalling",
+    "52": "flaking_multiple spalling squat",
+    "53": "flaking_multiple spalling squat_multiple",
+    "54": "flaking_multiple spalling_multiple",
+    "55": "flaking_multiple spalling_multiple squat",
+    "56": "flaking_multiple spalling_multiple squat_multiple",
+    "57": "flaking_multiple squat",
+    "58": "flaking_multiple squat_multiple",
+    "59": "putus",
+    "60": "putus spalling_multiple",
+    "61": "spalling",
+    "62": "spalling squat",
+    "63": "spalling squat_multiple",
+    "64": "spalling_multiple",
+    "65": "spalling_multiple squat",
+    "66": "spalling_multiple squat_multiple",
+    "67": "squat",
+    "68": "squat_multiple"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "corrugation": 0,
+    "corrugation flaking_multiple squat": 1,
+    "corrugation spalling": 2,
+    "crack": 3,
+    "crack flaking spalling": 4,
+    "crack flaking spalling_multiple": 5,
+    "crack flaking spalling_multiple squat": 6,
+    "crack flaking_multiple": 7,
+    "crack flaking_multiple spalling squat": 8,
+    "crack flaking_multiple spalling_multiple": 9,
+    "crack flaking_multiple spalling_multiple squat": 10,
+    "crack flaking_multiple spalling_multiple squat_multiple": 11,
+    "crack flaking_multiple squat": 12,
+    "crack spalling": 13,
+    "crack spalling squat": 14,
+    "crack spalling_multiple": 15,
+    "crack spalling_multiple squat": 16,
+    "crack spalling_multiple squat_multiple": 17,
+    "crack squat": 18,
+    "crack_multiple": 19,
+    "crack_multiple flaking spalling squat": 20,
+    "crack_multiple flaking spalling squat_multiple": 21,
+    "crack_multiple flaking spalling_multiple": 22,
+    "crack_multiple flaking spalling_multiple squat": 23,
+    "crack_multiple flaking spalling_multiple squat_multiple": 24,
+    "crack_multiple flaking_multiple": 25,
+    "crack_multiple flaking_multiple spalling": 26,
+    "crack_multiple flaking_multiple spalling squat": 27,
+    "crack_multiple flaking_multiple spalling squat_multiple": 28,
+    "crack_multiple flaking_multiple spalling_multiple": 29,
+    "crack_multiple flaking_multiple spalling_multiple squat": 30,
+    "crack_multiple flaking_multiple spalling_multiple squat_multiple": 31,
+    "crack_multiple flaking_multiple squat": 32,
+    "crack_multiple spalling": 33,
+    "crack_multiple spalling squat": 34,
+    "crack_multiple spalling squat_multiple": 35,
+    "crack_multiple spalling_multiple": 36,
+    "crack_multiple spalling_multiple squat": 37,
+    "crack_multiple spalling_multiple squat_multiple": 38,
+    "crack_multiple squat": 39,
+    "crack_multiple squat_multiple": 40,
+    "empty": 41,
+    "flaking": 42,
+    "flaking putus spalling_multiple": 43,
+    "flaking spalling": 44,
+    "flaking spalling squat": 45,
+    "flaking spalling_multiple": 46,
+    "flaking spalling_multiple squat": 47,
+    "flaking squat": 48,
+    "flaking squat_multiple": 49,
+    "flaking_multiple": 50,
+    "flaking_multiple spalling": 51,
+    "flaking_multiple spalling squat": 52,
+    "flaking_multiple spalling squat_multiple": 53,
+    "flaking_multiple spalling_multiple": 54,
+    "flaking_multiple spalling_multiple squat": 55,
+    "flaking_multiple spalling_multiple squat_multiple": 56,
+    "flaking_multiple squat": 57,
+    "flaking_multiple squat_multiple": 58,
+    "putus": 59,
+    "putus spalling_multiple": 60,
+    "spalling": 61,
+    "spalling squat": 62,
+    "spalling squat_multiple": 63,
+    "spalling_multiple": 64,
+    "spalling_multiple squat": 65,
+    "spalling_multiple squat_multiple": 66,
+    "squat": 67,
+    "squat_multiple": 68
+  },
+  "layer_norm_eps": 1e-05,
+  "mlp_ratio": 4.0,
+  "model_type": "swin",
+  "num_channels": 3,
+  "num_heads": [
+    3,
+    6,
+    12,
+    24
+  ],
+  "num_layers": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "path_norm": true,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.4",
+  "use_absolute_embeddings": false,
+  "window_size": 7
+}

model.safetensors

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preprocessor_config.json

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+{
+  "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": 224,
+    "width": 224
+  }
+}

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training_args.bin

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