End of training

README.md

@@ -3,6 +3,8 @@ library_name: transformers
 license: apache-2.0
 base_model: microsoft/swinv2-large-patch4-window12-192-22k
 tags:
+- image-classification
+- vision
 - generated_from_trainer
 metrics:
 - accuracy
@@ -20,7 +22,7 @@ This model is a fine-tuned version of [microsoft/swinv2-large-patch4-window12-19
 It achieves the following results on the evaluation set:
 - Loss: 6.5510
 - Accuracy: 0.1798
-- Memory Allocated (gb): 2.46
+- Memory Allocated (gb): 2.43
 - Max Memory Allocated (gb): 21.35
 - Total Memory Available (gb): 94.62
 

all_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 100.0,
+    "eval_accuracy": 0.17984579202762646,
+    "eval_loss": 6.551010608673096,
+    "eval_runtime": 293.1476,
+    "eval_samples_per_second": 572.937,
+    "eval_steps_per_second": 1.122,
+    "max_memory_allocated (GB)": 21.35,
+    "memory_allocated (GB)": 2.43,
+    "total_flos": 9.770330117395578e+21,
+    "total_memory_available (GB)": 94.62,
+    "train_loss": 0.7415650523898262,
+    "train_runtime": 105713.6949,
+    "train_samples_per_second": 635.506,
+    "train_steps_per_second": 1.242
+}

eval_results.json

@@ -0,0 +1,11 @@
+{
+    "epoch": 100.0,
+    "eval_accuracy": 0.17984579202762646,
+    "eval_loss": 6.551010608673096,
+    "eval_runtime": 293.1476,
+    "eval_samples_per_second": 572.937,
+    "eval_steps_per_second": 1.122,
+    "max_memory_allocated (GB)": 21.35,
+    "memory_allocated (GB)": 2.43,
+    "total_memory_available (GB)": 94.62
+}

train_results.json

@@ -0,0 +1,11 @@
+{
+    "epoch": 100.0,
+    "max_memory_allocated (GB)": 21.35,
+    "memory_allocated (GB)": 2.46,
+    "total_flos": 9.770330117395578e+21,
+    "total_memory_available (GB)": 94.62,
+    "train_loss": 0.7415650523898262,
+    "train_runtime": 105713.6949,
+    "train_samples_per_second": 635.506,
+    "train_steps_per_second": 1.242
+}