Training in progress, epoch 1

config.json

@@ -1,24 +1,18 @@
 {
-  "_name_or_path": "microsoft/resnet-50",
+  "_name_or_path": "microsoft/beit-base-patch16-224-pt22k-ft22k",
+  "add_fpn": false,
   "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
+    "BeitForImageClassification"
   ],
+  "attention_probs_dropout_prob": 0.0,
+  "auxiliary_channels": 256,
+  "auxiliary_concat_input": false,
+  "auxiliary_loss_weight": 0.4,
+  "auxiliary_num_convs": 1,
+  "drop_path_rate": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
   "id2label": {
     "0": "Erythromelal",
     "1": "Guttate",
@@ -28,6 +22,9 @@
     "5": "Plaque",
     "6": "Pustular"
   },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
   "label2id": {
     "Erythromelal": 0,
     "Guttate": 1,
@@ -37,23 +34,50 @@
     "Plaque": 5,
     "Pustular": 6
   },
-  "layer_type": "bottleneck",
-  "model_type": "resnet",
+  "layer_norm_eps": 1e-12,
+  "layer_scale_init_value": 0.1,
+  "model_type": "beit",
+  "num_attention_heads": 12,
   "num_channels": 3,
+  "num_hidden_layers": 12,
   "out_features": [
-    "stage4"
+    "stage12"
   ],
   "out_indices": [
-    4
+    12
+  ],
+  "patch_size": 16,
+  "pool_scales": [
+    1,
+    2,
+    3,
+    6
   ],
   "problem_type": "single_label_classification",
+  "reshape_hidden_states": true,
+  "semantic_loss_ignore_index": 255,
   "stage_names": [
     "stem",
     "stage1",
     "stage2",
     "stage3",
-    "stage4"
+    "stage4",
+    "stage5",
+    "stage6",
+    "stage7",
+    "stage8",
+    "stage9",
+    "stage10",
+    "stage11",
+    "stage12"
   ],
   "torch_dtype": "float32",
-  "transformers_version": "4.38.2"
+  "transformers_version": "4.38.2",
+  "use_absolute_position_embeddings": false,
+  "use_auxiliary_head": true,
+  "use_mask_token": false,
+  "use_mean_pooling": true,
+  "use_relative_position_bias": true,
+  "use_shared_relative_position_bias": false,
+  "vocab_size": 8192
 }

model.safetensors

@@ -1,3 +1,3 @@
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-size 94343948
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+size 343095708

preprocessor_config.json

@@ -1,22 +1,28 @@
 {
-  "crop_pct": 0.875,
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": false,
   "do_normalize": true,
+  "do_reduce_labels": false,
   "do_rescale": true,
   "do_resize": true,
   "image_mean": [
-    0.485,
-    0.456,
-    0.406
+    0.5,
+    0.5,
+    0.5
   ],
-  "image_processor_type": "ConvNextImageProcessor",
+  "image_processor_type": "BeitImageProcessor",
   "image_std": [
-    0.229,
-    0.224,
-    0.225
+    0.5,
+    0.5,
+    0.5
   ],
-  "resample": 3,
+  "resample": 2,
   "rescale_factor": 0.00392156862745098,
   "size": {
-    "shortest_edge": 224
+    "height": 224,
+    "width": 224
   }
 }

runs/Apr06_22-38-27_fa9f3e5e02dd/events.out.tfevents.1712443112.fa9f3e5e02dd.367.2

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+size 6481

training_args.bin

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 size 4920