End of training

README.md

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+---
+license: apache-2.0
+base_model: microsoft/swin-large-patch4-window12-384-in22k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: microsoft/swin-large-patch4-window12-384-in22k
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: NIH-Xray
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7
+---
+
+<!-- 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. -->
+
+# microsoft/swin-large-patch4-window12-384-in22k
+
+This model is a fine-tuned version of [microsoft/swin-large-patch4-window12-384-in22k](https://huggingface.co/microsoft/swin-large-patch4-window12-384-in22k) on the NIH-Xray dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2480
+- Accuracy: 0.7
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 1.0    | 1    | 2.6591          | 0.0      |
+| No log        | 1.3333 | 2    | 2.2480          | 0.7      |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.0
+- Datasets 2.19.1
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 1.3333333333333333,
+    "total_flos": 7254221177290752.0,
+    "train_loss": 1.3116413354873657,
+    "train_runtime": 24.7689,
+    "train_samples_per_second": 0.807,
+    "train_steps_per_second": 0.081
+}

config.json

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+{
+  "_name_or_path": "microsoft/swin-large-patch4-window12-384-in22k",
+  "architectures": [
+    "SwinForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    2,
+    2,
+    18,
+    2
+  ],
+  "drop_path_rate": 0.1,
+  "embed_dim": 192,
+  "encoder_stride": 32,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1536,
+  "id2label": {
+    "0": "Pneumonia",
+    "1": "Emphysema",
+    "2": "Fibrosis",
+    "3": "No Finding",
+    "4": "Pleural_Thickening",
+    "5": "Cardiomegaly",
+    "6": "Consolidation",
+    "7": "Hernia",
+    "8": "Effusion",
+    "9": "Nodule",
+    "10": "Pneumothorax",
+    "11": "Edema",
+    "12": "Mass",
+    "13": "Infiltration",
+    "14": "Atelectasis"
+  },
+  "image_size": 384,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Atelectasis": 14,
+    "Cardiomegaly": 5,
+    "Consolidation": 6,
+    "Edema": 11,
+    "Effusion": 8,
+    "Emphysema": 1,
+    "Fibrosis": 2,
+    "Hernia": 7,
+    "Infiltration": 13,
+    "Mass": 12,
+    "No Finding": 3,
+    "Nodule": 9,
+    "Pleural_Thickening": 4,
+    "Pneumonia": 0,
+    "Pneumothorax": 10
+  },
+  "layer_norm_eps": 1e-05,
+  "mlp_ratio": 4.0,
+  "model_type": "swin",
+  "num_channels": 3,
+  "num_heads": [
+    6,
+    12,
+    24,
+    48
+  ],
+  "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": "4.41.1",
+  "use_absolute_embeddings": false,
+  "window_size": 12
+}

model.safetensors

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+size 784924668

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": 384,
+    "width": 384
+  }
+}

train_results.json

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+{
+    "epoch": 1.3333333333333333,
+    "total_flos": 7254221177290752.0,
+    "train_loss": 1.3116413354873657,
+    "train_runtime": 24.7689,
+    "train_samples_per_second": 0.807,
+    "train_steps_per_second": 0.081
+}

trainer_state.json

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+{
+  "best_metric": 0.7,
+  "best_model_checkpoint": "SwinLarge/checkpoint-2",
+  "epoch": 1.3333333333333333,
+  "eval_steps": 500,
+  "global_step": 2,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.0,
+      "eval_loss": 2.659140110015869,
+      "eval_runtime": 2.803,
+      "eval_samples_per_second": 3.568,
+      "eval_steps_per_second": 1.07,
+      "step": 1
+    },
+    {
+      "epoch": 1.3333333333333333,
+      "eval_accuracy": 0.7,
+      "eval_loss": 2.24800443649292,
+      "eval_runtime": 2.8186,
+      "eval_samples_per_second": 3.548,
+      "eval_steps_per_second": 1.064,
+      "step": 2
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+    {
+      "epoch": 1.3333333333333333,
+      "step": 2,
+      "total_flos": 7254221177290752.0,
+      "train_loss": 1.3116413354873657,
+      "train_runtime": 24.7689,
+      "train_samples_per_second": 0.807,
+      "train_steps_per_second": 0.081
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 2,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 7254221177290752.0,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

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