Training in progress, epoch 0

config.json

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+{
+  "_name_or_path": "facebook/vit-msn-small",
+  "architectures": [
+    "ViTMSNForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 384,
+  "id2label": {
+    "0": "agregados",
+    "1": "eosinophils",
+    "2": "lymphocytes",
+    "3": "monocytes",
+    "4": "neutrophils"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "label2id": {
+    "agregados": 0,
+    "eosinophils": 1,
+    "lymphocytes": 2,
+    "monocytes": 3,
+    "neutrophils": 4
+  },
+  "layer_norm_eps": 1e-06,
+  "model_type": "vit_msn",
+  "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": "4.44.2"
+}

model.safetensors

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preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

runs/Dec19_12-52-16_ae1aa77fe319/events.out.tfevents.1734612747.ae1aa77fe319.236.24

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training_args.bin

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