End of training

README.md

@@ -32,7 +32,7 @@ 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: 0.0392
+- Loss: 0.0694
 - Accuracy: 1.0
 
 ## Model description

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 10.0,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.06937801092863083,
+    "eval_runtime": 0.2822,
+    "eval_samples_per_second": 38.975,
+    "eval_steps_per_second": 3.543,
+    "total_flos": 2.36131895365632e+16,
+    "train_loss": 0.0745547870794932,
+    "train_runtime": 44.2972,
+    "train_samples_per_second": 32.169,
+    "train_steps_per_second": 0.339
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 10.0,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.06937801092863083,
+    "eval_runtime": 0.2822,
+    "eval_samples_per_second": 38.975,
+    "eval_steps_per_second": 3.543
+}

runs/Nov17_06-02-46_5b1724f311f1/events.out.tfevents.1700201023.5b1724f311f1.2687.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:81be76ceca4d731e70c7cd1cd430205289958b21a41d23a8d374b214548c7c47
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 10.0,
+    "total_flos": 2.36131895365632e+16,
+    "train_loss": 0.0745547870794932,
+    "train_runtime": 44.2972,
+    "train_samples_per_second": 32.169,
+    "train_steps_per_second": 0.339
+}

trainer_state.json

@@ -0,0 +1,124 @@
+{
+  "best_metric": 1.0,
+  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-cloudy/checkpoint-6",
+  "epoch": 10.0,
+  "eval_steps": 500,
+  "global_step": 15,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.8181818181818182,
+      "eval_loss": 0.29926612973213196,
+      "eval_runtime": 0.2842,
+      "eval_samples_per_second": 38.711,
+      "eval_steps_per_second": 3.519,
+      "step": 1
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.9090909090909091,
+      "eval_loss": 0.19625429809093475,
+      "eval_runtime": 0.1342,
+      "eval_samples_per_second": 81.991,
+      "eval_steps_per_second": 7.454,
+      "step": 3
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.9090909090909091,
+      "eval_loss": 0.11304927617311478,
+      "eval_runtime": 0.0846,
+      "eval_samples_per_second": 130.096,
+      "eval_steps_per_second": 11.827,
+      "step": 5
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.06937801092863083,
+      "eval_runtime": 0.0843,
+      "eval_samples_per_second": 130.409,
+      "eval_steps_per_second": 11.855,
+      "step": 6
+    },
+    {
+      "epoch": 5.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.05686504766345024,
+      "eval_runtime": 0.1936,
+      "eval_samples_per_second": 56.83,
+      "eval_steps_per_second": 5.166,
+      "step": 7
+    },
+    {
+      "epoch": 6.0,
+      "eval_accuracy": 0.9090909090909091,
+      "eval_loss": 0.09023422002792358,
+      "eval_runtime": 0.112,
+      "eval_samples_per_second": 98.194,
+      "eval_steps_per_second": 8.927,
+      "step": 9
+    },
+    {
+      "epoch": 6.67,
+      "learning_rate": 1.923076923076923e-05,
+      "loss": 0.08,
+      "step": 10
+    },
+    {
+      "epoch": 7.0,
+      "eval_accuracy": 0.9090909090909091,
+      "eval_loss": 0.09732546657323837,
+      "eval_runtime": 0.1774,
+      "eval_samples_per_second": 62.019,
+      "eval_steps_per_second": 5.638,
+      "step": 11
+    },
+    {
+      "epoch": 8.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.07458483427762985,
+      "eval_runtime": 0.1068,
+      "eval_samples_per_second": 103.037,
+      "eval_steps_per_second": 9.367,
+      "step": 12
+    },
+    {
+      "epoch": 9.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.052712131291627884,
+      "eval_runtime": 0.11,
+      "eval_samples_per_second": 99.967,
+      "eval_steps_per_second": 9.088,
+      "step": 13
+    },
+    {
+      "epoch": 10.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.039185844361782074,
+      "eval_runtime": 0.0885,
+      "eval_samples_per_second": 124.348,
+      "eval_steps_per_second": 11.304,
+      "step": 15
+    },
+    {
+      "epoch": 10.0,
+      "step": 15,
+      "total_flos": 2.36131895365632e+16,
+      "train_loss": 0.0745547870794932,
+      "train_runtime": 44.2972,
+      "train_samples_per_second": 32.169,
+      "train_steps_per_second": 0.339
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 15,
+  "num_train_epochs": 15,
+  "save_steps": 500,
+  "total_flos": 2.36131895365632e+16,
+  "trial_name": null,
+  "trial_params": null
+}