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Thyroid-Ultrasound-Image-Classification-EfficientNetModel

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Training in progress, epoch 1

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Files changed (5) hide show
  1. config.json +86 -19
  2. model.safetensors +2 -2
  3. preprocessor_config.json +19 -8
  4. runs/May26_16-04-17_951bc4fe61af/events.out.tfevents.1716739459.951bc4fe61af.273.0 +3 -0
  5. training_args.bin +1 -1
config.json CHANGED
@@ -1,34 +1,101 @@
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  {
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  "architectures": [
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- "ViTForImageClassification"
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- "attention_probs_dropout_prob": 0.0,
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- "encoder_stride": 16,
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- "hidden_act": "gelu",
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- "hidden_dropout_prob": 0.0,
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- "hidden_size": 768,
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "id2label": {
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  "0": "benign",
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- "1": "malignant",
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- "2": "normal thyroid"
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  },
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  "image_size": 224,
 
 
 
 
 
 
 
 
 
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  "initializer_range": 0.02,
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- "intermediate_size": 3072,
 
 
 
 
 
 
 
 
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  "label2id": {
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  "benign": 0,
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- "malignant": 1,
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- "normal thyroid": 2
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  },
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- "layer_norm_eps": 1e-12,
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- "model_type": "vit",
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- "num_attention_heads": 12,
 
 
 
 
 
 
 
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  "num_channels": 3,
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- "num_hidden_layers": 12,
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- "patch_size": 16,
 
 
 
 
 
 
 
 
 
 
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  "problem_type": "single_label_classification",
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- "qkv_bias": true,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "torch_dtype": "float32",
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- "transformers_version": "4.41.0"
 
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  }
 
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  {
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+ "_name_or_path": "google/efficientnet-b0",
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  "architectures": [
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+ "EfficientNetForImageClassification"
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  ],
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+ "batch_norm_eps": 0.001,
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+ "batch_norm_momentum": 0.99,
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+ "depth_coefficient": 1.0,
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  "id2label": {
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  "0": "benign",
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+ "1": "normal thyroid",
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+ "2": "malignant"
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  "image_size": 224,
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  "initializer_range": 0.02,
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  "label2id": {
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  "benign": 0,
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+ "malignant": 2,
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+ "normal thyroid": 1
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+ "model_type": "efficientnet",
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  "num_channels": 3,
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+ "out_features": null,
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+ "pooling_type": "mean",
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  "problem_type": "single_label_classification",
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+ "squeeze_expansion_ratio": 0.25,
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+ "stage_names": [
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+ "stem",
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+ "stage1",
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  "torch_dtype": "float32",
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+ "transformers_version": "4.41.0",
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preprocessor_config.json CHANGED
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  "image_std",
 
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  "do_normalize": true,
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  "size": {
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  "image_mean": [
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