End of training

README.md

@@ -1,28 +1,13 @@
 ---
 license: apache-2.0
-base_model: microsoft/swin-tiny-patch4-window7-224
+base_model: nielsr/swin-tiny-patch4-window7-224-finetuned-eurosat
 tags:
 - generated_from_trainer
 datasets:
 - imagefolder
-metrics:
-- accuracy
 model-index:
 - name: swin-tiny-patch4-window7-224-finetuned-eurosat
-  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: 0.8780487804878049
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +15,14 @@ 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.
+This model is a fine-tuned version of [nielsr/swin-tiny-patch4-window7-224-finetuned-eurosat](https://huggingface.co/nielsr/swin-tiny-patch4-window7-224-finetuned-eurosat) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2831
-- Accuracy: 0.8780
+- eval_loss: 2.9854
+- eval_accuracy: 0.1115
+- eval_runtime: 5.1865
+- eval_samples_per_second: 55.336
+- eval_steps_per_second: 1.735
+- step: 0
 
 ## Model description
 
@@ -63,15 +52,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 3
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7533        | 0.99  | 20   | 0.5474          | 0.7770   |
-| 0.4366        | 1.98  | 40   | 0.3385          | 0.8606   |
-| 0.3318        | 2.96  | 60   | 0.2831          | 0.8780   |
-
-
 ### Framework versions
 
 - Transformers 4.38.2

all_results.json

@@ -1,10 +1,10 @@
 {
     "epoch": 2.96,
-    "eval_accuracy": 0.8780487804878049,
-    "eval_loss": 0.28312796354293823,
-    "eval_runtime": 4.3945,
-    "eval_samples_per_second": 65.308,
-    "eval_steps_per_second": 2.048,
+    "eval_accuracy": 0.11149825783972125,
+    "eval_loss": 2.985412836074829,
+    "eval_runtime": 5.1865,
+    "eval_samples_per_second": 55.336,
+    "eval_steps_per_second": 1.735,
     "total_flos": 1.9045723068223488e+17,
     "train_loss": 0.6072771787643433,
     "train_runtime": 158.0756,

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "microsoft/swin-tiny-patch4-window7-224",
+  "_name_or_path": "nielsr/swin-tiny-patch4-window7-224-finetuned-eurosat",
   "architectures": [
     "SwinForImageClassification"
   ],
@@ -17,18 +17,30 @@
   "hidden_dropout_prob": 0.0,
   "hidden_size": 768,
   "id2label": {
-    "0": "glioma_tumor",
-    "1": "meningioma_tumor",
-    "2": "no_tumor",
-    "3": "pituitary_tumor"
+    "0": "AnnualCrop",
+    "1": "Forest",
+    "2": "HerbaceousVegetation",
+    "3": "Highway",
+    "4": "Industrial",
+    "5": "Pasture",
+    "6": "PermanentCrop",
+    "7": "Residential",
+    "8": "River",
+    "9": "SeaLake"
   },
   "image_size": 224,
   "initializer_range": 0.02,
   "label2id": {
-    "glioma_tumor": 0,
-    "meningioma_tumor": 1,
-    "no_tumor": 2,
-    "pituitary_tumor": 3
+    "AnnualCrop": 0,
+    "Forest": 1,
+    "HerbaceousVegetation": 2,
+    "Highway": 3,
+    "Industrial": 4,
+    "Pasture": 5,
+    "PermanentCrop": 6,
+    "Residential": 7,
+    "River": 8,
+    "SeaLake": 9
   },
   "layer_norm_eps": 1e-05,
   "mlp_ratio": 4.0,

eval_results.json

@@ -1,8 +1,7 @@
 {
-    "epoch": 2.96,
-    "eval_accuracy": 0.8780487804878049,
-    "eval_loss": 0.28312796354293823,
-    "eval_runtime": 4.3945,
-    "eval_samples_per_second": 65.308,
-    "eval_steps_per_second": 2.048
+    "eval_accuracy": 0.11149825783972125,
+    "eval_loss": 2.985412836074829,
+    "eval_runtime": 5.1865,
+    "eval_samples_per_second": 55.336,
+    "eval_steps_per_second": 1.735
 }

model.safetensors

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+size 110367448

runs/Apr08_12-40-57_90600695b4f6/events.out.tfevents.1712580183.90600695b4f6.424.6

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training_args.bin

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