End of training

.gitignore

@@ -0,0 +1 @@
+checkpoint-*/

all_results.json

@@ -0,0 +1,7 @@
+{
+    "eval_accuracy": 0.41353383458646614,
+    "eval_loss": 1.086753249168396,
+    "eval_runtime": 18.159,
+    "eval_samples_per_second": 7.324,
+    "eval_steps_per_second": 0.936
+}

config.json

@@ -0,0 +1,35 @@
+{
+  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "finetuning_task": "image-classification",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "angular_leaf_spot",
+    "1": "bean_rust",
+    "2": "healthy"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "angular_leaf_spot": "0",
+    "bean_rust": "1",
+    "healthy": "2"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "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": "4.19.0.dev0"
+}

eval_results.json

@@ -0,0 +1,7 @@
+{
+    "eval_accuracy": 0.41353383458646614,
+    "eval_loss": 1.086753249168396,
+    "eval_runtime": 18.159,
+    "eval_samples_per_second": 7.324,
+    "eval_steps_per_second": 0.936
+}

preprocessor_config.json

@@ -0,0 +1,17 @@
+{
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "ViTFeatureExtractor",
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "size": 224
+}

pytorch_model.bin

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+oid sha256:d8a2175357b3e26452fc69a14e2d6cb1d1de82804ee5dbc9300c6ae6ad09aee8
+size 343267249

training_args.bin

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+oid sha256:d13a63a0d2d8626d1243bc44bbdf9d648256ce0976f426450d8c84df6ce4ca2d
+size 3119