End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5777777777777777
+      value: 0.8
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7686
-- Accuracy: 0.5778
+- Loss: 0.7878
+- Accuracy: 0.8
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 2.77,
+    "eval_accuracy": 0.8,
+    "eval_loss": 0.7878170609474182,
+    "eval_runtime": 0.4051,
+    "eval_samples_per_second": 111.087,
+    "eval_steps_per_second": 4.937,
+    "total_flos": 2.808805237991424e+16,
+    "train_loss": 0.8973487218221029,
+    "train_runtime": 41.4937,
+    "train_samples_per_second": 29.282,
+    "train_steps_per_second": 0.217
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.77,
+    "eval_accuracy": 0.8,
+    "eval_loss": 0.7878170609474182,
+    "eval_runtime": 0.4051,
+    "eval_samples_per_second": 111.087,
+    "eval_steps_per_second": 4.937
+}

runs/Nov15_15-36-05_3db7594084d7/events.out.tfevents.1700062620.3db7594084d7.6069.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:38f99261cbbfbf72ded3c1d1c3c939f48599b5185b93417c0d5c1b4ea7efbaef
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.77,
+    "total_flos": 2.808805237991424e+16,
+    "train_loss": 0.8973487218221029,
+    "train_runtime": 41.4937,
+    "train_samples_per_second": 29.282,
+    "train_steps_per_second": 0.217
+}

trainer_state.json

@@ -0,0 +1,55 @@
+{
+  "best_metric": 0.8,
+  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-3",
+  "epoch": 2.769230769230769,
+  "eval_steps": 500,
+  "global_step": 9,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.92,
+      "eval_accuracy": 0.8,
+      "eval_loss": 0.7878170609474182,
+      "eval_runtime": 0.4406,
+      "eval_samples_per_second": 102.122,
+      "eval_steps_per_second": 4.539,
+      "step": 3
+    },
+    {
+      "epoch": 1.85,
+      "eval_accuracy": 0.6888888888888889,
+      "eval_loss": 0.7482559084892273,
+      "eval_runtime": 0.4147,
+      "eval_samples_per_second": 108.499,
+      "eval_steps_per_second": 4.822,
+      "step": 6
+    },
+    {
+      "epoch": 2.77,
+      "eval_accuracy": 0.5777777777777777,
+      "eval_loss": 0.7685946226119995,
+      "eval_runtime": 0.6085,
+      "eval_samples_per_second": 73.948,
+      "eval_steps_per_second": 3.287,
+      "step": 9
+    },
+    {
+      "epoch": 2.77,
+      "step": 9,
+      "total_flos": 2.808805237991424e+16,
+      "train_loss": 0.8973487218221029,
+      "train_runtime": 41.4937,
+      "train_samples_per_second": 29.282,
+      "train_steps_per_second": 0.217
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 9,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 2.808805237991424e+16,
+  "trial_name": null,
+  "trial_params": null
+}