Training in progress, step 2000

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "facebook/deit-small-patch16-224",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 384,
+  "id2label": {
+    "0": "B",
+    "1": "b",
+    "10": "Q",
+    "11": "q",
+    "12": "1",
+    "2": "K",
+    "3": "k",
+    "4": "R",
+    "5": "r",
+    "6": "N",
+    "7": "n",
+    "8": "P",
+    "9": "p"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "label2id": {
+    "1": "12",
+    "B": "0",
+    "K": "2",
+    "N": "6",
+    "P": "8",
+    "Q": "10",
+    "R": "4",
+    "b": "1",
+    "k": "3",
+    "n": "7",
+    "p": "9",
+    "q": "11",
+    "r": "5"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 6,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.29.2"
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

pytorch_model.bin

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training_args.bin

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