Saving best model to hub

.gitignore

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+checkpoint-*/

all_results.json

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+{
+    "epoch": 99.96,
+    "train_loss": 4.706060151404296e+25,
+    "train_runtime": 15225.9839,
+    "train_samples_per_second": 5.254,
+    "train_steps_per_second": 0.039
+}

config.json

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+{
+  "_name_or_path": "microsoft/swinv2-base-patch4-window12-192-22k",
+  "architectures": [
+    "Swinv2ForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    2,
+    2,
+    18,
+    2
+  ],
+  "drop_path_rate": 0.1,
+  "embed_dim": 128,
+  "encoder_stride": 32,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "ADVE",
+    "1": "Email",
+    "2": "Form",
+    "3": "Letter",
+    "4": "Memo",
+    "5": "News",
+    "6": "Note",
+    "7": "Report",
+    "8": "Resume",
+    "9": "Scientific"
+  },
+  "image_size": 192,
+  "initializer_range": 0.02,
+  "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-05,
+  "mlp_ratio": 4.0,
+  "model_type": "swinv2",
+  "num_channels": 3,
+  "num_heads": [
+    4,
+    8,
+    16,
+    32
+  ],
+  "num_layers": 4,
+  "patch_size": 4,
+  "path_norm": true,
+  "pretrained_window_sizes": [
+    0,
+    0,
+    0,
+    0
+  ],
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1",
+  "use_absolute_embeddings": false,
+  "window_size": 12
+}

pytorch_model.bin

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+size 347784881

train_results.json

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+{
+    "epoch": 99.96,
+    "train_loss": 4.706060151404296e+25,
+    "train_runtime": 15225.9839,
+    "train_samples_per_second": 5.254,
+    "train_steps_per_second": 0.039
+}

training_args.bin

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