Saving best model to hub

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "microsoft/dit-base",
+  "architectures": [
+    "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": 192,
+  "id2label": {
+    "0": "ADVE",
+    "1": "Email",
+    "2": "Form",
+    "3": "Letter",
+    "4": "Memo",
+    "5": "News",
+    "6": "Note",
+    "7": "Report",
+    "8": "Resume",
+    "9": "Scientific"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 768,
+  "label2id": {
+    "ADVE": 0,
+    "Email": 1,
+    "Form": 2,
+    "Letter": 3,
+    "Memo": 4,
+    "News": 5,
+    "Note": 6,
+    "Report": 7,
+    "Resume": 8,
+    "Scientific": 9
+  },
+  "layer_norm_eps": 1e-12,
+  "layer_scale_init_value": 0.1,
+  "model_type": "beit",
+  "num_attention_heads": 3,
+  "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,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1",
+  "use_absolute_position_embeddings": true,
+  "use_auxiliary_head": true,
+  "use_mask_token": true,
+  "use_mean_pooling": true,
+  "use_relative_position_bias": false,
+  "use_shared_relative_position_bias": false,
+  "vocab_size": 8192
+}

pytorch_model.bin

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training_args.bin

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