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: 3.6978
+- Loss: 3.9119
 - Accuracy: 0.0748
 
 ## Model description

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 2.8,
+    "eval_accuracy": 0.07476635514018691,
+    "eval_loss": 3.91194748878479,
+    "eval_runtime": 0.6944,
+    "eval_samples_per_second": 154.093,
+    "eval_steps_per_second": 5.76,
+    "total_flos": 6.683837149237248e+16,
+    "train_loss": 3.9302179472787038,
+    "train_runtime": 46.793,
+    "train_samples_per_second": 61.419,
+    "train_steps_per_second": 0.449
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.8,
+    "eval_accuracy": 0.07476635514018691,
+    "eval_loss": 3.91194748878479,
+    "eval_runtime": 0.6944,
+    "eval_samples_per_second": 154.093,
+    "eval_steps_per_second": 5.76
+}

runs/Jul02_11-50-34_e9b91cbda493/events.out.tfevents.1719921182.e9b91cbda493.288.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:485ae3b534b8c4b695c8568239d6624b12c4a5e358fe5dfc856bd34916e76588
+size 722

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.8,
+    "total_flos": 6.683837149237248e+16,
+    "train_loss": 3.9302179472787038,
+    "train_runtime": 46.793,
+    "train_samples_per_second": 61.419,
+    "train_steps_per_second": 0.449
+}

trainer_state.json

@@ -0,0 +1,83 @@
+{
+  "best_metric": 0.07476635514018691,
+  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-7",
+  "epoch": 2.8,
+  "eval_steps": 500,
+  "global_step": 21,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "eval_steps_per_second": 5.701,
+      "step": 7
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+      "grad_norm": 4.241847515106201,
+      "learning_rate": 3.055555555555556e-05,
+      "loss": 4.1204,
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+      "epoch": 2.8,
+      "eval_accuracy": 0.07476635514018691,
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+      "eval_runtime": 0.6245,
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+      "eval_steps_per_second": 6.405,
+      "step": 21
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+      "total_flos": 6.683837149237248e+16,
+      "train_loss": 3.9302179472787038,
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+  "logging_steps": 10,
+  "max_steps": 21,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
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+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
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+      "attributes": {}
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+  "total_flos": 6.683837149237248e+16,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}