zypchn/model_0-D2-SW-Tuned

README.md

@@ -0,0 +1,79 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: microsoft/swin-tiny-patch4-window7-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- f1
+model-index:
+- name: model_0-D2-SW-Tuned
+  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. -->
+
+# model_0-D2-SW-Tuned
+
+This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1783
+- Accuracy: 0.9889
+- Precision: 0.9889
+- Sensitivity: 0.9667
+- Specificity: 0.9933
+- F1: 0.9889
+- Auc: 0.9991
+- Mcc: 0.96
+- J Stat: 0.96
+- Confusion Matrix: [[149, 1], [1, 29]]
+
+## 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: 4.286661471431606e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.07159086635599052
+- num_epochs: 7
+- label_smoothing_factor: 0.0713211794743841
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Sensitivity | Specificity | F1     | Auc    | Mcc    | J Stat | Confusion Matrix    |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:-----------:|:-----------:|:------:|:------:|:------:|:------:|:-------------------:|
+| 0.2816        | 1.0   | 376  | 0.2185          | 0.9722   | 0.9727    | 0.9333      | 0.98        | 0.9724 | 0.9929 | 0.9015 | 0.9133 | [[147, 3], [2, 28]] |
+| 0.2998        | 2.0   | 752  | 0.2313          | 0.9611   | 0.9607    | 0.8667      | 0.98        | 0.9608 | 0.9947 | 0.8583 | 0.8467 | [[147, 3], [4, 26]] |
+| 0.1991        | 3.0   | 1128 | 0.2396          | 0.9667   | 0.9662    | 0.8667      | 0.9867      | 0.9662 | 0.9951 | 0.8775 | 0.8533 | [[148, 2], [4, 26]] |
+| 0.2611        | 4.0   | 1504 | 0.1923          | 0.9833   | 0.9837    | 0.9667      | 0.9867      | 0.9834 | 0.998  | 0.9410 | 0.9533 | [[148, 2], [1, 29]] |
+| 0.2044        | 5.0   | 1880 | 0.2105          | 0.9722   | 0.9741    | 0.9667      | 0.9733      | 0.9727 | 0.9989 | 0.9054 | 0.94   | [[146, 4], [1, 29]] |
+| 0.207         | 6.0   | 2256 | 0.1922          | 0.9833   | 0.9832    | 0.9333      | 0.9933      | 0.9832 | 0.9991 | 0.9394 | 0.9267 | [[149, 1], [2, 28]] |
+| 0.1677        | 7.0   | 2632 | 0.1783          | 0.9889   | 0.9889    | 0.9667      | 0.9933      | 0.9889 | 0.9991 | 0.96   | 0.96   | [[149, 1], [1, 29]] |
+
+
+### Framework versions
+
+- Transformers 4.57.1
+- Pytorch 2.6.0+cu124
+- Datasets 4.4.1
+- Tokenizers 0.22.1

config.json

@@ -0,0 +1,59 @@
+{
+  "architectures": [
+    "SwinForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    2,
+    2,
+    6,
+    2
+  ],
+  "drop_path_rate": 0.1,
+  "dtype": "float32",
+  "embed_dim": 96,
+  "encoder_stride": 32,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "negative",
+    "1": "positive"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "negative": "0",
+    "positive": "1"
+  },
+  "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,
+  "qkv_bias": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "transformers_version": "4.57.1",
+  "use_absolute_embeddings": false,
+  "window_size": 7
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6999e3ae1fc3fe2c126b6643da016fc58270ed2cace4b05f5713babcd10d247d
+size 110342832

preprocessor_config.json

@@ -0,0 +1,33 @@
+{
+  "crop_size": null,
+  "data_format": "channels_first",
+  "default_to_square": true,
+  "device": null,
+  "disable_grouping": null,
+  "do_center_crop": null,
+  "do_convert_rgb": null,
+  "do_normalize": true,
+  "do_pad": null,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ViTImageProcessorFast",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "input_data_format": null,
+  "pad_size": null,
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "return_tensors": null,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9424db0b1f98d103d9ac74e427fb8d3655a306af95832965ced9c20b3277c393
+size 5432