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: 0.9262
+- Loss: 0.9539
 - Accuracy: 0.8
 
 ## Model description

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.8,
+    "eval_loss": 0.9538887739181519,
+    "eval_runtime": 0.0631,
+    "eval_samples_per_second": 79.252,
+    "eval_steps_per_second": 15.85,
+    "total_flos": 2833661921513472.0,
+    "train_loss": 0.5340616703033447,
+    "train_runtime": 11.902,
+    "train_samples_per_second": 9.578,
+    "train_steps_per_second": 0.252
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.8,
+    "eval_loss": 0.9538887739181519,
+    "eval_runtime": 0.0631,
+    "eval_samples_per_second": 79.252,
+    "eval_steps_per_second": 15.85
+}

runs/Jul01_17-14-52_bf529328f093/events.out.tfevents.1719854159.bf529328f093.270.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8760462183fcdb5a037215d7f0b1327bcc1def33520445b5e5c073b41fda624f
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "total_flos": 2833661921513472.0,
+    "train_loss": 0.5340616703033447,
+    "train_runtime": 11.902,
+    "train_samples_per_second": 9.578,
+    "train_steps_per_second": 0.252
+}

trainer_state.json

@@ -0,0 +1,69 @@
+{
+  "best_metric": 0.8,
+  "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": 0.6,
+      "eval_loss": 0.9853276014328003,
+      "eval_runtime": 0.0784,
+      "eval_samples_per_second": 63.742,
+      "eval_steps_per_second": 12.748,
+      "step": 1
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.8,
+      "eval_loss": 0.9538887739181519,
+      "eval_runtime": 0.0454,
+      "eval_samples_per_second": 110.09,
+      "eval_steps_per_second": 22.018,
+      "step": 2
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.8,
+      "eval_loss": 0.9262399673461914,
+      "eval_runtime": 0.0533,
+      "eval_samples_per_second": 93.743,
+      "eval_steps_per_second": 18.749,
+      "step": 3
+    },
+    {
+      "epoch": 3.0,
+      "step": 3,
+      "total_flos": 2833661921513472.0,
+      "train_loss": 0.5340616703033447,
+      "train_runtime": 11.902,
+      "train_samples_per_second": 9.578,
+      "train_steps_per_second": 0.252
+    }
+  ],
+  "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": 2833661921513472.0,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}