Training in progress, epoch 1

README.md

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+---
+license: apache-2.0
+base_model: microsoft/swin-base-patch4-window7-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: swin-base-patch4-window7-224-MM_Classification_base
+  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: 0.8681177976952625
+---
+
+<!-- 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-base-patch4-window7-224-MM_Classification_base
+
+This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patch4-window7-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3364
+- Accuracy: 0.8681
+
+## 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: 128
+- eval_batch_size: 128
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 512
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.9771        | 1.0   | 19   | 0.5489          | 0.7913   |
+| 0.4913        | 2.0   | 38   | 0.3562          | 0.8553   |
+| 0.3633        | 3.0   | 57   | 0.3353          | 0.8668   |
+| 0.3343        | 4.0   | 76   | 0.3177          | 0.8656   |
+| 0.3096        | 5.0   | 95   | 0.3072          | 0.8758   |
+| 0.2822        | 6.0   | 114  | 0.3213          | 0.8630   |
+| 0.2749        | 7.0   | 133  | 0.3173          | 0.8643   |
+| 0.2526        | 8.0   | 152  | 0.3110          | 0.8758   |
+| 0.2405        | 9.0   | 171  | 0.3263          | 0.8758   |
+| 0.2152        | 10.0  | 190  | 0.3268          | 0.8656   |
+| 0.2226        | 11.0  | 209  | 0.3209          | 0.8732   |
+| 0.2067        | 12.0  | 228  | 0.3289          | 0.8771   |
+| 0.2019        | 13.0  | 247  | 0.3316          | 0.8745   |
+| 0.195         | 14.0  | 266  | 0.3398          | 0.8732   |
+| 0.1862        | 15.0  | 285  | 0.3364          | 0.8681   |
+
+
+### Framework versions
+
+- Transformers 4.43.3
+- Pytorch 1.13.1+cu117
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "microsoft/swin-base-patch4-window7-224",
+  "architectures": [
+    "SwinForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    2,
+    2,
+    18,
+    2
+  ],
+  "drop_path_rate": 0.1,
+  "embed_dim": 128,
+  "encoder_stride": 32,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "Invalid",
+    "1": "Mid Market",
+    "2": "Non Mid Market"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Invalid": 0,
+    "Mid Market": 1,
+    "Non Mid Market": 2
+  },
+  "layer_norm_eps": 1e-05,
+  "mlp_ratio": 4.0,
+  "model_type": "swin",
+  "num_channels": 3,
+  "num_heads": [
+    4,
+    8,
+    16,
+    32
+  ],
+  "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": "4.43.3",
+  "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
+  }
+}

runs/Jul28_13-56-29_cc86077eaeac/events.out.tfevents.1722175027.cc86077eaeac

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runs/Jul29_05-32-15_57c74b225367/events.out.tfevents.1722231150.57c74b225367

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training_args.bin

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