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: 0.4165
+- Loss: 0.5007
 - Accuracy: 0.8659
 
 ## Model description

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 2.608695652173913,
+    "eval_accuracy": 0.8658536585365854,
+    "eval_loss": 0.5006787776947021,
+    "eval_runtime": 2.8884,
+    "eval_samples_per_second": 28.39,
+    "eval_steps_per_second": 1.039,
+    "total_flos": 4.757569226119987e+16,
+    "train_loss": 0.5564005295435588,
+    "train_runtime": 73.5006,
+    "train_samples_per_second": 29.918,
+    "train_steps_per_second": 0.204
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.608695652173913,
+    "eval_accuracy": 0.8658536585365854,
+    "eval_loss": 0.5006787776947021,
+    "eval_runtime": 2.8884,
+    "eval_samples_per_second": 28.39,
+    "eval_steps_per_second": 1.039
+}

runs/Aug02_21-57-57_1e08d16701dc/events.out.tfevents.1722636684.1e08d16701dc.174.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c04da0aa5725e799ec092e3d698befbbadeb6abfc1bbadf06448da4dad7b70d9
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.608695652173913,
+    "total_flos": 4.757569226119987e+16,
+    "train_loss": 0.5564005295435588,
+    "train_runtime": 73.5006,
+    "train_samples_per_second": 29.918,
+    "train_steps_per_second": 0.204
+}

trainer_state.json

@@ -0,0 +1,76 @@
+{
+  "best_metric": 0.8658536585365854,
+  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-5",
+  "epoch": 2.608695652173913,
+  "eval_steps": 500,
+  "global_step": 15,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "eval_accuracy": 0.8658536585365854,
+      "eval_loss": 0.5006787776947021,
+      "eval_runtime": 1.7139,
+      "eval_samples_per_second": 47.845,
+      "eval_steps_per_second": 1.75,
+      "step": 5
+    },
+    {
+      "epoch": 1.7391304347826086,
+      "grad_norm": 2.479766845703125,
+      "learning_rate": 1.923076923076923e-05,
+      "loss": 0.6369,
+      "step": 10
+    },
+    {
+      "epoch": 1.9130434782608696,
+      "eval_accuracy": 0.8658536585365854,
+      "eval_loss": 0.4332596957683563,
+      "eval_runtime": 1.629,
+      "eval_samples_per_second": 50.338,
+      "eval_steps_per_second": 1.842,
+      "step": 11
+    },
+    {
+      "epoch": 2.608695652173913,
+      "eval_accuracy": 0.8658536585365854,
+      "eval_loss": 0.41646236181259155,
+      "eval_runtime": 1.926,
+      "eval_samples_per_second": 42.575,
+      "eval_steps_per_second": 1.558,
+      "step": 15
+    },
+    {
+      "epoch": 2.608695652173913,
+      "step": 15,
+      "total_flos": 4.757569226119987e+16,
+      "train_loss": 0.5564005295435588,
+      "train_runtime": 73.5006,
+      "train_samples_per_second": 29.918,
+      "train_steps_per_second": 0.204
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 15,
+  "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": 4.757569226119987e+16,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}