Training in progress, epoch 1

README.md

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+---
+license: apache-2.0
+base_model: microsoft/swin-base-patch4-window7-224-in22k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: swin-base-patch4-window7-224-in22k-finetuned-CT-V2
+  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-base-patch4-window7-224-in22k-finetuned-CT-V2
+
+This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224-in22k](https://huggingface.co/microsoft/swin-base-patch4-window7-224-in22k) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0038
+- Accuracy: 0.9989
+
+## 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
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 1147 | 0.0393          | 0.9877   |
+| No log        | 2.0   | 2294 | 0.0201          | 0.9921   |
+| No log        | 3.0   | 3441 | 0.0089          | 0.9964   |
+| No log        | 4.0   | 4588 | 0.0071          | 0.9971   |
+| 0.1453        | 5.0   | 5735 | 0.0038          | 0.9989   |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.3.1+cpu
+- Datasets 2.20.0
+- Tokenizers 0.15.1

all_results.json

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+    "epoch": 5.0,
+    "eval_accuracy": 0.9989094874591058,
+    "eval_loss": 0.00382046215236187,
+    "eval_runtime": 721.3858,
+    "eval_samples_per_second": 12.712,
+    "eval_steps_per_second": 0.398,
+    "total_flos": 1.4373615310681375e+19,
+    "train_loss": 0.1452722072185593,
+    "train_runtime": 57646.0553,
+    "train_samples_per_second": 3.183,
+    "train_steps_per_second": 0.099
+}

config.json

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+{
+  "_name_or_path": "microsoft/swin-base-patch4-window7-224-in22k",
+  "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": "meningioma_tumor",
+    "1": "glioma_tumor",
+    "2": "no_tumor",
+    "3": "pituitary_tumor"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "glioma_tumor": 1,
+    "meningioma_tumor": 0,
+    "no_tumor": 2,
+    "pituitary_tumor": 3
+  },
+  "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": "4.41.2",
+  "use_absolute_embeddings": false,
+  "window_size": 7
+}

eval_results.json

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+    "eval_accuracy": 0.9989094874591058,
+    "eval_loss": 0.00382046215236187,
+    "eval_runtime": 721.3858,
+    "eval_samples_per_second": 12.712,
+    "eval_steps_per_second": 0.398
+}

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preprocessor_config.json

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+    "do_rescale",
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+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
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+    "width": 224
+  }
+}

runs/Jul02_14-56-56_Precision5860/events.out.tfevents.1719950217.Precision5860.25088.0

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train_results.json

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trainer_state.json

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