End of training

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 2.95,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.006661477033048868,
+    "eval_runtime": 3.8122,
+    "eval_samples_per_second": 52.464,
+    "eval_steps_per_second": 1.836,
+    "total_flos": 4.585565023351603e+17,
+    "train_loss": 0.15139642357826233,
+    "train_runtime": 293.2302,
+    "train_samples_per_second": 20.462,
+    "train_steps_per_second": 0.153
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.95,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.006661477033048868,
+    "eval_runtime": 3.8122,
+    "eval_samples_per_second": 52.464,
+    "eval_steps_per_second": 1.836
+}

runs/Nov12_00-38-50_5e1496e4283b/events.out.tfevents.1668214426.5e1496e4283b.6036.5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ecfd9b934bd30292f3eb7bfe4105cf4a0d1b57e1ad99761fc5459c9e47e32590
+size 357

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.95,
+    "total_flos": 4.585565023351603e+17,
+    "train_loss": 0.15139642357826233,
+    "train_runtime": 293.2302,
+    "train_samples_per_second": 20.462,
+    "train_steps_per_second": 0.153
+}

trainer_state.json

@@ -0,0 +1,76 @@
+{
+  "best_metric": 1.0,
+  "best_model_checkpoint": "beit-base-patch16-224-finetuned-eurosat/checkpoint-30",
+  "epoch": 2.9523809523809526,
+  "global_step": 45,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.63,
+      "learning_rate": 4.375e-05,
+      "loss": 0.4792,
+      "step": 10
+    },
+    {
+      "epoch": 0.95,
+      "eval_accuracy": 0.985,
+      "eval_loss": 0.04018726944923401,
+      "eval_runtime": 3.9393,
+      "eval_samples_per_second": 50.771,
+      "eval_steps_per_second": 1.777,
+      "step": 15
+    },
+    {
+      "epoch": 1.32,
+      "learning_rate": 3.125e-05,
+      "loss": 0.0783,
+      "step": 20
+    },
+    {
+      "epoch": 1.95,
+      "learning_rate": 1.8750000000000002e-05,
+      "loss": 0.0481,
+      "step": 30
+    },
+    {
+      "epoch": 1.95,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.006661477033048868,
+      "eval_runtime": 3.9828,
+      "eval_samples_per_second": 50.216,
+      "eval_steps_per_second": 1.758,
+      "step": 30
+    },
+    {
+      "epoch": 2.63,
+      "learning_rate": 6.25e-06,
+      "loss": 0.0561,
+      "step": 40
+    },
+    {
+      "epoch": 2.95,
+      "eval_accuracy": 0.995,
+      "eval_loss": 0.008617542684078217,
+      "eval_runtime": 4.0468,
+      "eval_samples_per_second": 49.422,
+      "eval_steps_per_second": 1.73,
+      "step": 45
+    },
+    {
+      "epoch": 2.95,
+      "step": 45,
+      "total_flos": 4.585565023351603e+17,
+      "train_loss": 0.15139642357826233,
+      "train_runtime": 293.2302,
+      "train_samples_per_second": 20.462,
+      "train_steps_per_second": 0.153
+    }
+  ],
+  "max_steps": 45,
+  "num_train_epochs": 3,
+  "total_flos": 4.585565023351603e+17,
+  "trial_name": null,
+  "trial_params": null
+}