Model save

README.md

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+---
+license: apache-2.0
+base_model: microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: swin-windturbine
+  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-windturbine
+
+This model is a fine-tuned version of [microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft](https://huggingface.co/microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0472
+- Accuracy: 0.9964
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 1337
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0604        | 1.0   | 197  | 0.0459          | 0.9892   |
+| 0.1309        | 2.0   | 394  | 0.0337          | 0.9857   |
+| 0.3207        | 3.0   | 591  | 0.1261          | 0.9785   |
+| 0.2517        | 4.0   | 788  | 0.0491          | 0.9928   |
+| 0.1549        | 5.0   | 985  | 0.0472          | 0.9964   |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.0
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft",
+  "architectures": [
+    "Swinv2ForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    2,
+    2,
+    18,
+    2
+  ],
+  "drop_path_rate": 0.1,
+  "embed_dim": 192,
+  "encoder_stride": 32,
+  "finetuning_task": "image-classification",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1536,
+  "id2label": {
+    "0": "Blade",
+    "1": "FullTurbine",
+    "2": "Hub",
+    "3": "Mast",
+    "4": "Nacelle",
+    "5": "Van"
+  },
+  "image_size": 256,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Blade": "0",
+    "FullTurbine": "1",
+    "Hub": "2",
+    "Mast": "3",
+    "Nacelle": "4",
+    "Van": "5"
+  },
+  "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": [
+    12,
+    12,
+    12,
+    6
+  ],
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.1",
+  "use_absolute_embeddings": false,
+  "window_size": 16
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a9be320fbf936bde9062408b66b491a66267e8e1cc019eed3ba2bc3ed06a3147
+size 780910880

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": 256,
+    "width": 256
+  }
+}

runs/May23_22-05-26_Edus-MacBook-Pro.local/events.out.tfevents.1716498384.Edus-MacBook-Pro.local

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+size 28062

training_args.bin

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+oid sha256:cfde3e6b6266b3b1ed577840f0dbf4f28d77c209ab0a359936ba0ce2e987025d
+size 5112