End of training

README.md

@@ -33,7 +33,7 @@ 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: 0.5873
+- Loss: 0.7072
 - Accuracy: 0.98
 
 ## Model description

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 2.689655172413793,
+    "eval_accuracy": 0.98,
+    "eval_loss": 0.7072139978408813,
+    "eval_runtime": 2.4457,
+    "eval_samples_per_second": 40.887,
+    "eval_steps_per_second": 1.635,
+    "total_flos": 6.066217047195648e+16,
+    "train_loss": 5.148691858564105,
+    "train_runtime": 137.2329,
+    "train_samples_per_second": 19.675,
+    "train_steps_per_second": 0.153
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.689655172413793,
+    "eval_accuracy": 0.98,
+    "eval_loss": 0.7072139978408813,
+    "eval_runtime": 2.4457,
+    "eval_samples_per_second": 40.887,
+    "eval_steps_per_second": 1.635
+}

runs/Dec31_12-24-33_6457ff04a1e5/events.out.tfevents.1735648381.6457ff04a1e5.925.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:00cbe7fefa8d6215162d33b2cbef662d74624235c1647a6aadd0ca2d39711ecf
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.689655172413793,
+    "total_flos": 6.066217047195648e+16,
+    "train_loss": 5.148691858564105,
+    "train_runtime": 137.2329,
+    "train_samples_per_second": 19.675,
+    "train_steps_per_second": 0.153
+}

trainer_state.json

@@ -0,0 +1,83 @@
+{
+  "best_metric": 0.98,
+  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-16",
+  "epoch": 2.689655172413793,
+  "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_accuracy": 0.91,
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+      "eval_runtime": 1.8474,
+      "eval_samples_per_second": 54.13,
+      "eval_steps_per_second": 2.165,
+      "step": 8
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+    {
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+      "grad_norm": 19.10587501525879,
+      "learning_rate": 3.055555555555556e-05,
+      "loss": 7.0705,
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+      "eval_accuracy": 0.98,
+      "eval_loss": 0.7072139978408813,
+      "eval_runtime": 1.8386,
+      "eval_samples_per_second": 54.389,
+      "eval_steps_per_second": 2.176,
+      "step": 16
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+      "learning_rate": 2.777777777777778e-06,
+      "loss": 3.4816,
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+      "epoch": 2.689655172413793,
+      "eval_accuracy": 0.98,
+      "eval_loss": 0.5873094797134399,
+      "eval_runtime": 2.1949,
+      "eval_samples_per_second": 45.56,
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+      "step": 21
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+    {
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+      "total_flos": 6.066217047195648e+16,
+      "train_loss": 5.148691858564105,
+      "train_runtime": 137.2329,
+      "train_samples_per_second": 19.675,
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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": 6.066217047195648e+16,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}