End of training

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - imagefolder
+metrics:
+- accuracy
 model-index:
 - name: swin-tiny-patch4-window7-224-finetuned-eurosat
-  results: []
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.41
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
 # swin-tiny-patch4-window7-224-finetuned-eurosat
 
 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: 1.9852
+- Accuracy: 0.41
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.41,
+    "eval_loss": 1.9852064847946167,
+    "eval_runtime": 71.9763,
+    "eval_samples_per_second": 1.389,
+    "eval_steps_per_second": 0.056,
+    "total_flos": 2.4861545275392e+16,
+    "train_loss": 2.1440467834472656,
+    "train_runtime": 1402.6949,
+    "train_samples_per_second": 0.713,
+    "train_steps_per_second": 0.006
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.41,
+    "eval_loss": 1.9852064847946167,
+    "eval_runtime": 71.9763,
+    "eval_samples_per_second": 1.389,
+    "eval_steps_per_second": 0.056
+}

runs/May24_02-45-37_dcb0021f6e3e/events.out.tfevents.1716521070.dcb0021f6e3e.381.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8e3d16f7910af68838d0c386848b31976d3a66120877c7aafad58352a2872946
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "total_flos": 2.4861545275392e+16,
+    "train_loss": 2.1440467834472656,
+    "train_runtime": 1402.6949,
+    "train_samples_per_second": 0.713,
+    "train_steps_per_second": 0.006
+}

trainer_state.json

@@ -0,0 +1,51 @@
+{
+  "best_metric": 0.41,
+  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-8",
+  "epoch": 1.0,
+  "eval_steps": 500,
+  "global_step": 8,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.41,
+      "eval_loss": 1.9852064847946167,
+      "eval_runtime": 72.9295,
+      "eval_samples_per_second": 1.371,
+      "eval_steps_per_second": 0.055,
+      "step": 8
+    },
+    {
+      "epoch": 1.0,
+      "step": 8,
+      "total_flos": 2.4861545275392e+16,
+      "train_loss": 2.1440467834472656,
+      "train_runtime": 1402.6949,
+      "train_samples_per_second": 0.713,
+      "train_steps_per_second": 0.006
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 8,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "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": 2.4861545275392e+16,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}