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: 0.0007
+- Loss: 0.0150
 - Accuracy: 1.0
 
 ## Model description

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 5.87,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.014997297897934914,
+    "eval_runtime": 0.7188,
+    "eval_samples_per_second": 111.294,
+    "eval_steps_per_second": 6.956,
+    "total_flos": 1.0499169747625574e+17,
+    "train_loss": 0.11364011652767658,
+    "train_runtime": 82.8886,
+    "train_samples_per_second": 52.118,
+    "train_steps_per_second": 0.796
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 5.87,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.014997297897934914,
+    "eval_runtime": 0.7188,
+    "eval_samples_per_second": 111.294,
+    "eval_steps_per_second": 6.956
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 5.87,
+    "total_flos": 1.0499169747625574e+17,
+    "train_loss": 0.11364011652767658,
+    "train_runtime": 82.8886,
+    "train_samples_per_second": 52.118,
+    "train_steps_per_second": 0.796
+}

trainer_state.json

@@ -0,0 +1,118 @@
+{
+  "best_metric": 1.0,
+  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-22",
+  "epoch": 5.866666666666667,
+  "eval_steps": 500,
+  "global_step": 66,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "learning_rate": 4.745762711864407e-05,
+      "loss": 0.5566,
+      "step": 10
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+      "epoch": 0.98,
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+      "eval_loss": 0.18459463119506836,
+      "eval_runtime": 0.6236,
+      "eval_samples_per_second": 128.293,
+      "eval_steps_per_second": 8.018,
+      "step": 11
+    },
+    {
+      "epoch": 1.78,
+      "learning_rate": 3.898305084745763e-05,
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+      "eval_samples_per_second": 124.463,
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+    },
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+      "epoch": 3.56,
+      "learning_rate": 2.2033898305084748e-05,
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+    },
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+    {
+      "epoch": 4.44,
+      "learning_rate": 1.3559322033898305e-05,
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+      "step": 50
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+      "eval_runtime": 0.5393,
+      "eval_samples_per_second": 148.34,
+      "eval_steps_per_second": 9.271,
+      "step": 56
+    },
+    {
+      "epoch": 5.33,
+      "learning_rate": 5.084745762711865e-06,
+      "loss": 0.0136,
+      "step": 60
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+      "eval_samples_per_second": 132.913,
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+      "step": 66
+    },
+    {
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+      "total_flos": 1.0499169747625574e+17,
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+      "train_runtime": 82.8886,
+      "train_samples_per_second": 52.118,
+      "train_steps_per_second": 0.796
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 66,
+  "num_train_epochs": 6,
+  "save_steps": 500,
+  "total_flos": 1.0499169747625574e+17,
+  "trial_name": null,
+  "trial_params": null
+}