Training in progress epoch 0

.gitignore

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+step_*
+epoch_*

all_results.json

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+{"eval_accuracy": 0.9287257019438445, "eval_precision": 0.9015978057889823, "eval_recall": 0.81784848506806, "eval_f1": 0.8523381967826412, "eval_specificity": 0.9481347199481774, "eval_train_loss": 0.0594653713292089, "eval_epoch": 99, "eval_step": 11600}

config.json

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+{
+  "_name_or_path": "timm/vit_base_patch16_224.augreg_in21k_ft_in1k",
+  "architecture": "vit_base_patch16_224",
+  "architectures": [
+    "TimmWrapperForImageClassification"
+  ],
+  "do_pooling": true,
+  "finetuning_task": "image-classification",
+  "global_pool": "token",
+  "initializer_range": 0.02,
+  "label_names": [
+    "fermentado",
+    "hongo",
+    "insecto",
+    "insufi_fermen",
+    "pizarroso",
+    "violeta"
+  ],
+  "model_type": "timm_wrapper",
+  "num_classes": 6,
+  "num_features": 768,
+  "pretrained_cfg": {
+    "classifier": "head",
+    "crop_mode": "center",
+    "crop_pct": 0.9,
+    "custom_load": true,
+    "first_conv": "patch_embed.proj",
+    "fixed_input_size": true,
+    "input_size": [
+      3,
+      224,
+      224
+    ],
+    "interpolation": "bicubic",
+    "mean": [
+      0.5,
+      0.5,
+      0.5
+    ],
+    "pool_size": null,
+    "std": [
+      0.5,
+      0.5,
+      0.5
+    ],
+    "tag": "augreg_in21k_ft_in1k"
+  },
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.48.0"
+}

model.safetensors

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+size 343227200