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: 0.4681
+- Loss: 0.5414
 - Accuracy: 1.0
 
 ## Model description

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.541394829750061,
+    "eval_runtime": 0.2681,
+    "eval_samples_per_second": 18.649,
+    "eval_steps_per_second": 3.73,
+    "total_flos": 3206422579175424.0,
+    "train_loss": 0.2824457089106242,
+    "train_runtime": 11.3219,
+    "train_samples_per_second": 11.394,
+    "train_steps_per_second": 0.265
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.541394829750061,
+    "eval_runtime": 0.2681,
+    "eval_samples_per_second": 18.649,
+    "eval_steps_per_second": 3.73
+}

runs/Apr08_12-16-58_90600695b4f6/events.out.tfevents.1712578862.90600695b4f6.424.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0ae5fe781274bf4e73835c55bd638e3788207ca495e68c0f9dc81ef0124d704b
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "total_flos": 3206422579175424.0,
+    "train_loss": 0.2824457089106242,
+    "train_runtime": 11.3219,
+    "train_samples_per_second": 11.394,
+    "train_steps_per_second": 0.265
+}

trainer_state.json

@@ -0,0 +1,57 @@
+{
+  "best_metric": 1.0,
+  "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": 0.7171379923820496,
+      "eval_runtime": 0.288,
+      "eval_samples_per_second": 17.359,
+      "eval_steps_per_second": 3.472,
+      "step": 1
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.541394829750061,
+      "eval_runtime": 0.2716,
+      "eval_samples_per_second": 18.413,
+      "eval_steps_per_second": 3.683,
+      "step": 2
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.4680565893650055,
+      "eval_runtime": 0.3396,
+      "eval_samples_per_second": 14.723,
+      "eval_steps_per_second": 2.945,
+      "step": 3
+    },
+    {
+      "epoch": 3.0,
+      "step": 3,
+      "total_flos": 3206422579175424.0,
+      "train_loss": 0.2824457089106242,
+      "train_runtime": 11.3219,
+      "train_samples_per_second": 11.394,
+      "train_steps_per_second": 0.265
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 3,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 3206422579175424.0,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}