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: 0.1602
+- Loss: 0.2135
 - Accuracy: 0.9767
 
 ## Model description

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 2.88,
+    "eval_accuracy": 0.9767441860465116,
+    "eval_loss": 0.21345461905002594,
+    "eval_runtime": 1.4317,
+    "eval_samples_per_second": 60.068,
+    "eval_steps_per_second": 2.095,
+    "total_flos": 5.59772512916521e+16,
+    "train_loss": 0.47446760204103255,
+    "train_runtime": 60.2156,
+    "train_samples_per_second": 38.561,
+    "train_steps_per_second": 0.299
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.88,
+    "eval_accuracy": 0.9767441860465116,
+    "eval_loss": 0.21345461905002594,
+    "eval_runtime": 1.4317,
+    "eval_samples_per_second": 60.068,
+    "eval_steps_per_second": 2.095
+}

runs/Jan24_04-08-42_8bcf3d55b05e/events.out.tfevents.1706069442.8bcf3d55b05e.362.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3cb62263cb284a83ec42afd53960f363d9fedfec3a4ea932aaac942296921066
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.88,
+    "total_flos": 5.59772512916521e+16,
+    "train_loss": 0.47446760204103255,
+    "train_runtime": 60.2156,
+    "train_samples_per_second": 38.561,
+    "train_steps_per_second": 0.299
+}

trainer_state.json

@@ -0,0 +1,61 @@
+{
+  "best_metric": 0.9767441860465116,
+  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-12",
+  "epoch": 2.88,
+  "eval_steps": 500,
+  "global_step": 18,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.96,
+      "eval_accuracy": 0.9186046511627907,
+      "eval_loss": 0.45363178849220276,
+      "eval_runtime": 1.2248,
+      "eval_samples_per_second": 70.214,
+      "eval_steps_per_second": 2.449,
+      "step": 6
+    },
+    {
+      "epoch": 1.6,
+      "learning_rate": 2.5e-05,
+      "loss": 0.691,
+      "step": 10
+    },
+    {
+      "epoch": 1.92,
+      "eval_accuracy": 0.9767441860465116,
+      "eval_loss": 0.21345461905002594,
+      "eval_runtime": 1.2714,
+      "eval_samples_per_second": 67.644,
+      "eval_steps_per_second": 2.36,
+      "step": 12
+    },
+    {
+      "epoch": 2.88,
+      "eval_accuracy": 0.9767441860465116,
+      "eval_loss": 0.1602499932050705,
+      "eval_runtime": 1.2399,
+      "eval_samples_per_second": 69.36,
+      "eval_steps_per_second": 2.42,
+      "step": 18
+    },
+    {
+      "epoch": 2.88,
+      "step": 18,
+      "total_flos": 5.59772512916521e+16,
+      "train_loss": 0.47446760204103255,
+      "train_runtime": 60.2156,
+      "train_samples_per_second": 38.561,
+      "train_steps_per_second": 0.299
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 18,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 5.59772512916521e+16,
+  "trial_name": null,
+  "trial_params": null
+}