Training in progress, epoch 0

config.json

@@ -1,14 +1,10 @@
 {
-  "_name_or_path": "microsoft/beit-base-patch16-224-pt22k-ft22k",
+  "_name_or_path": "google/vit-base-patch16-224-in21k",
   "architectures": [
-    "BeitForImageClassification"
+    "ViTForImageClassification"
   ],
   "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,
+  "encoder_stride": 16,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.0,
   "hidden_size": 768,
@@ -40,33 +36,13 @@
     "TIGER": "9"
   },
   "layer_norm_eps": 1e-12,
-  "layer_scale_init_value": 0.1,
-  "model_type": "beit",
+  "model_type": "vit",
   "num_attention_heads": 12,
   "num_channels": 3,
   "num_hidden_layers": 12,
-  "out_indices": [
-    3,
-    5,
-    7,
-    11
-  ],
   "patch_size": 16,
-  "pool_scales": [
-    1,
-    2,
-    3,
-    6
-  ],
   "problem_type": "single_label_classification",
-  "semantic_loss_ignore_index": 255,
+  "qkv_bias": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.28.1",
-  "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
+  "transformers_version": "4.28.1"
 }

preprocessor_config.json

@@ -1,11 +1,5 @@
 {
-  "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": [
@@ -13,7 +7,7 @@
     0.5,
     0.5
   ],
-  "image_processor_type": "BeitImageProcessor",
+  "image_processor_type": "ViTImageProcessor",
   "image_std": [
     0.5,
     0.5,

pytorch_model.bin

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training_args.bin

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