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: 0.6670
+- Loss: 0.7008
 - Accuracy: 0.6
 
 ## Model description

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.6,
+    "eval_loss": 0.7008114457130432,
+    "eval_runtime": 0.0781,
+    "eval_samples_per_second": 64.04,
+    "eval_steps_per_second": 12.808,
+    "total_flos": 2759014777430016.0,
+    "train_loss": 0.33415381113688153,
+    "train_runtime": 24.174,
+    "train_samples_per_second": 4.592,
+    "train_steps_per_second": 0.124
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.6,
+    "eval_loss": 0.7008114457130432,
+    "eval_runtime": 0.0781,
+    "eval_samples_per_second": 64.04,
+    "eval_steps_per_second": 12.808
+}

runs/Aug10_00-09-48_0ff74ddd53ba/events.out.tfevents.1723248638.0ff74ddd53ba.1202.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f6b852d8a30e5450da6338a39ed84774364dc09850ebb66d53345ad011e3d660
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "total_flos": 2759014777430016.0,
+    "train_loss": 0.33415381113688153,
+    "train_runtime": 24.174,
+    "train_samples_per_second": 4.592,
+    "train_steps_per_second": 0.124
+}

trainer_state.json

@@ -0,0 +1,69 @@
+{
+  "best_metric": 0.6,
+  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-2",
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 3,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.2,
+      "eval_loss": 0.7852267622947693,
+      "eval_runtime": 1.9765,
+      "eval_samples_per_second": 2.53,
+      "eval_steps_per_second": 0.506,
+      "step": 1
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.6,
+      "eval_loss": 0.7008114457130432,
+      "eval_runtime": 0.0895,
+      "eval_samples_per_second": 55.891,
+      "eval_steps_per_second": 11.178,
+      "step": 2
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.6,
+      "eval_loss": 0.6670464277267456,
+      "eval_runtime": 0.0616,
+      "eval_samples_per_second": 81.16,
+      "eval_steps_per_second": 16.232,
+      "step": 3
+    },
+    {
+      "epoch": 3.0,
+      "step": 3,
+      "total_flos": 2759014777430016.0,
+      "train_loss": 0.33415381113688153,
+      "train_runtime": 24.174,
+      "train_samples_per_second": 4.592,
+      "train_steps_per_second": 0.124
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 3,
+  "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": 2759014777430016.0,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}