Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "decoder_hidden_size": 512,
+  "decoder_intermediate_size": 2048,
+  "decoder_num_attention_heads": 16,
+  "decoder_num_hidden_layers": 8,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "CONTAINER",
+    "1": "CONTROL SHOT",
+    "2": "COVER",
+    "3": "EDGE + SPINE",
+    "4": "FLYSHEET",
+    "5": "OTHER",
+    "6": "PAGE + FOLIO",
+    "7": "SCROLL"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "CONTAINER": 0,
+    "CONTROL SHOT": 1,
+    "COVER": 2,
+    "EDGE + SPINE": 3,
+    "FLYSHEET": 4,
+    "OTHER": 5,
+    "PAGE + FOLIO": 6,
+    "SCROLL": 7
+  },
+  "layer_norm_eps": 1e-12,
+  "mask_ratio": 0.75,
+  "model_type": "vit",
+  "norm_pix_loss": false,
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.17.0.dev0"
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "ViTFeatureExtractor",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 2,
+  "size": 224
+}

pytorch_model.bin

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+size 343299185

training_args.bin

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