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README.md

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+
+---
+tags:
+- autotrain
+- image-classification
+base_model: microsoft/resnet-50
+widget:
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
+  example_title: Tiger
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
+  example_title: Teapot
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
+  example_title: Palace
+datasets:
+- meat21/jpg_data
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Image Classification
+
+## Validation Metrics
+No validation metrics available

config.json

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+{
+  "_name_or_path": "microsoft/resnet-50",
+  "_num_labels": 6,
+  "architectures": [
+    "ResNetForImageClassification"
+  ],
+  "depths": [
+    3,
+    4,
+    6,
+    3
+  ],
+  "downsample_in_bottleneck": false,
+  "downsample_in_first_stage": false,
+  "embedding_size": 64,
+  "hidden_act": "relu",
+  "hidden_sizes": [
+    256,
+    512,
+    1024,
+    2048
+  ],
+  "id2label": {
+    "0": "Credit Card Slip",
+    "1": "Hospital Discharge",
+    "2": "Hospital Doctor Slip",
+    "3": "Hospital Invoices",
+    "4": "Outpatient",
+    "5": "Reference Letter"
+  },
+  "label2id": {
+    "Credit Card Slip": 0,
+    "Hospital Discharge": 1,
+    "Hospital Doctor Slip": 2,
+    "Hospital Invoices": 3,
+    "Outpatient": 4,
+    "Reference Letter": 5
+  },
+  "layer_type": "bottleneck",
+  "model_type": "resnet",
+  "num_channels": 3,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "problem_type": "single_label_classification",
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.0"
+}

model.safetensors

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preprocessor_config.json

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+{
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ConvNextImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

runs/Nov04_02-41-20_r-mccwilliam-med-doc-class-pvokxl88-9e14d-fm572/events.out.tfevents.1730688082.r-mccwilliam-med-doc-class-pvokxl88-9e14d-fm572.114.0

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+size 9396

training_args.bin

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training_params.json

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+{
+    "data_path": "meat21/jpg_data",
+    "model": "microsoft/resnet-50",
+    "username": "meat21",
+    "lr": 5e-05,
+    "epochs": 3,
+    "batch_size": 8,
+    "warmup_ratio": 0.1,
+    "gradient_accumulation": 1,
+    "optimizer": "adamw_torch",
+    "scheduler": "linear",
+    "weight_decay": 0.0,
+    "max_grad_norm": 1.0,
+    "seed": 42,
+    "train_split": "train",
+    "valid_split": null,
+    "logging_steps": -1,
+    "project_name": "jpgclass",
+    "auto_find_batch_size": false,
+    "mixed_precision": "fp16",
+    "save_total_limit": 1,
+    "push_to_hub": true,
+    "eval_strategy": "epoch",
+    "image_column": "image",
+    "target_column": "label",
+    "log": "tensorboard",
+    "early_stopping_patience": 5,
+    "early_stopping_threshold": 0.01
+}