End of training

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 2.968421052631579,
+    "eval_accuracy": 0.9544444444444444,
+    "eval_loss": 0.13685034215450287,
+    "eval_runtime": 5.9923,
+    "eval_samples_per_second": 450.581,
+    "eval_steps_per_second": 3.671,
+    "total_flos": 1.7938102147100836e+18,
+    "train_loss": 0.5156102181537777,
+    "train_runtime": 246.7274,
+    "train_samples_per_second": 295.468,
+    "train_steps_per_second": 0.571
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.968421052631579,
+    "eval_accuracy": 0.9544444444444444,
+    "eval_loss": 0.13685034215450287,
+    "eval_runtime": 5.9923,
+    "eval_samples_per_second": 450.581,
+    "eval_steps_per_second": 3.671
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.968421052631579,
+    "total_flos": 1.7938102147100836e+18,
+    "train_loss": 0.5156102181537777,
+    "train_runtime": 246.7274,
+    "train_samples_per_second": 295.468,
+    "train_steps_per_second": 0.571
+}

trainer_state.json

@@ -0,0 +1,167 @@
+{
+  "best_metric": 0.9544444444444444,
+  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-141",
+  "epoch": 2.968421052631579,
+  "eval_steps": 500,
+  "global_step": 141,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.21052631578947367,
+      "grad_norm": 3.664080858230591,
+      "learning_rate": 3.3333333333333335e-05,
+      "loss": 2.2003,
+      "step": 10
+    },
+    {
+      "epoch": 0.42105263157894735,
+      "grad_norm": 4.389891147613525,
+      "learning_rate": 4.801587301587302e-05,
+      "loss": 1.3695,
+      "step": 20
+    },
+    {
+      "epoch": 0.631578947368421,
+      "grad_norm": 10.958775520324707,
+      "learning_rate": 4.404761904761905e-05,
+      "loss": 0.6244,
+      "step": 30
+    },
+    {
+      "epoch": 0.8421052631578947,
+      "grad_norm": 9.257582664489746,
+      "learning_rate": 4.007936507936508e-05,
+      "loss": 0.4313,
+      "step": 40
+    },
+    {
+      "epoch": 0.9894736842105263,
+      "eval_accuracy": 0.9166666666666666,
+      "eval_loss": 0.25173959136009216,
+      "eval_runtime": 5.9391,
+      "eval_samples_per_second": 454.618,
+      "eval_steps_per_second": 3.704,
+      "step": 47
+    },
+    {
+      "epoch": 1.0526315789473684,
+      "grad_norm": 14.306416511535645,
+      "learning_rate": 3.611111111111111e-05,
+      "loss": 0.3752,
+      "step": 50
+    },
+    {
+      "epoch": 1.263157894736842,
+      "grad_norm": 6.0008978843688965,
+      "learning_rate": 3.2142857142857144e-05,
+      "loss": 0.307,
+      "step": 60
+    },
+    {
+      "epoch": 1.4736842105263157,
+      "grad_norm": 7.767253875732422,
+      "learning_rate": 2.8174603174603175e-05,
+      "loss": 0.291,
+      "step": 70
+    },
+    {
+      "epoch": 1.6842105263157894,
+      "grad_norm": 10.404711723327637,
+      "learning_rate": 2.4206349206349206e-05,
+      "loss": 0.2605,
+      "step": 80
+    },
+    {
+      "epoch": 1.8947368421052633,
+      "grad_norm": 6.902656078338623,
+      "learning_rate": 2.023809523809524e-05,
+      "loss": 0.2492,
+      "step": 90
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.9455555555555556,
+      "eval_loss": 0.1588747352361679,
+      "eval_runtime": 6.4788,
+      "eval_samples_per_second": 416.741,
+      "eval_steps_per_second": 3.396,
+      "step": 95
+    },
+    {
+      "epoch": 2.1052631578947367,
+      "grad_norm": 4.410822868347168,
+      "learning_rate": 1.626984126984127e-05,
+      "loss": 0.2391,
+      "step": 100
+    },
+    {
+      "epoch": 2.3157894736842106,
+      "grad_norm": 6.006781101226807,
+      "learning_rate": 1.2301587301587301e-05,
+      "loss": 0.2186,
+      "step": 110
+    },
+    {
+      "epoch": 2.526315789473684,
+      "grad_norm": 8.734150886535645,
+      "learning_rate": 8.333333333333334e-06,
+      "loss": 0.2262,
+      "step": 120
+    },
+    {
+      "epoch": 2.736842105263158,
+      "grad_norm": 10.224825859069824,
+      "learning_rate": 4.365079365079365e-06,
+      "loss": 0.235,
+      "step": 130
+    },
+    {
+      "epoch": 2.9473684210526314,
+      "grad_norm": 8.728509902954102,
+      "learning_rate": 3.9682539682539683e-07,
+      "loss": 0.2205,
+      "step": 140
+    },
+    {
+      "epoch": 2.968421052631579,
+      "eval_accuracy": 0.9544444444444444,
+      "eval_loss": 0.13685034215450287,
+      "eval_runtime": 6.0237,
+      "eval_samples_per_second": 448.231,
+      "eval_steps_per_second": 3.652,
+      "step": 141
+    },
+    {
+      "epoch": 2.968421052631579,
+      "step": 141,
+      "total_flos": 1.7938102147100836e+18,
+      "train_loss": 0.5156102181537777,
+      "train_runtime": 246.7274,
+      "train_samples_per_second": 295.468,
+      "train_steps_per_second": 0.571
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 141,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.7938102147100836e+18,
+  "train_batch_size": 128,
+  "trial_name": null,
+  "trial_params": null
+}