dungeon-geo-morphs

README.md

@@ -3,6 +3,7 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-large-patch16-224
 tags:
+- image-classification
 - generated_from_trainer
 datasets:
 - imagefolder
@@ -15,7 +16,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: imagefolder
+      name: dungeon-geo-morphs
       type: imagefolder
       config: default
       split: validation
@@ -23,7 +24,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9928571428571429
+      value: 0.9946428571428572
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,10 +32,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-large-patch16-224-dungeon-geo-morphs-0-4-28Nov24-002
 
-This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the imagefolder dataset.
+This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the dungeon-geo-morphs dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0275
-- Accuracy: 0.9929
+- Loss: 0.0274
+- Accuracy: 0.9946
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
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+    "train_runtime": 317.1341,
+    "train_samples_per_second": 7.568,
+    "train_steps_per_second": 0.189
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
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+}

runs/Nov28_18-48-16_c84079d71601/events.out.tfevents.1732820089.c84079d71601.1724.3

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+oid sha256:82b70692e7b866340b8c2561696b07969a7b3d7365b90bb7f1ef0a21ad4c8187
+size 405

train_results.json

@@ -0,0 +1,8 @@
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+    "train_loss": 0.30466832394401233,
+    "train_runtime": 317.1341,
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+    "train_steps_per_second": 0.189
+}

trainer_state.json

@@ -0,0 +1,138 @@
+{
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+  "best_model_checkpoint": "vit-large-patch16-224-dungeon-geo-morphs-0-4-28Nov24-002/checkpoint-50",
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