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Project_Class_Model_beit-base-patch16

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Training in progress, epoch 1

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Files changed (5) hide show
  1. config.json +48 -24
  2. model.safetensors +2 -2
  3. preprocessor_config.json +16 -10
  4. runs/Apr06_22-38-27_fa9f3e5e02dd/events.out.tfevents.1712443112.fa9f3e5e02dd.367.2 +3 -0
  5. training_args.bin +1 -1
config.json CHANGED
@@ -1,24 +1,18 @@
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  {
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- "_name_or_path": "microsoft/resnet-50",
 
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  "architectures": [
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  "id2label": {
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  "0": "Erythromelal",
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  "1": "Guttate",
@@ -28,6 +22,9 @@
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  "5": "Plaque",
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  "6": "Pustular"
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  },
 
 
 
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  "label2id": {
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  "Guttate": 1,
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  "Plaque": 5,
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  "Pustular": 6
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- "layer_type": "bottleneck",
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- "model_type": "resnet",
 
 
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  "num_channels": 3,
 
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  "out_features": [
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- "stage4"
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  ],
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  "out_indices": [
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- 4
 
 
 
 
 
 
 
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  ],
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  "problem_type": "single_label_classification",
 
 
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  "stage_names": [
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  "stem",
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  "stage1",
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  "stage2",
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  "stage3",
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- "stage4"
 
 
 
 
 
 
 
 
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  ],
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  "torch_dtype": "float32",
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- "transformers_version": "4.38.2"
 
 
 
 
 
 
 
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  }
 
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  {
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+ "_name_or_path": "microsoft/beit-base-patch16-224-pt22k-ft22k",
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+ "add_fpn": false,
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  "architectures": [
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+ "BeitForImageClassification"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ "attention_probs_dropout_prob": 0.0,
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  "id2label": {
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  "1": "Guttate",
 
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  "5": "Plaque",
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+ "initializer_range": 0.02,
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  "label2id": {
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  "Erythromelal": 0,
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  "Guttate": 1,
 
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  "Plaque": 5,
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  "Pustular": 6
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+ "layer_norm_eps": 1e-12,
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+ "layer_scale_init_value": 0.1,
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+ "model_type": "beit",
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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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  "out_features": [
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  "out_indices": [
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  "problem_type": "single_label_classification",
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+ "reshape_hidden_states": true,
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  "stage_names": [
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  "stem",
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  "stage1",
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  "stage2",
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  "stage3",
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  "torch_dtype": "float32",
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+ "transformers_version": "4.38.2",
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+ "use_absolute_position_embeddings": false,
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+ "use_auxiliary_head": true,
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+ "use_mask_token": false,
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+ "use_mean_pooling": true,
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+ "vocab_size": 8192
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