End of training

README.md

@@ -6,24 +6,9 @@ tags:
 - generated_from_trainer
 datasets:
 - imagefolder
-metrics:
-- accuracy
 model-index:
 - name: swinv2-tiny-patch4-window16-256-finetuned-plantdisease
-  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: 0.9798934108527132
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +17,6 @@ should probably proofread and complete it, then remove this comment. -->
 # swinv2-tiny-patch4-window16-256-finetuned-plantdisease
 
 This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window16-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window16-256) on the imagefolder dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0568
-- Accuracy: 0.9799
 
 ## Model description
 
@@ -64,13 +46,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 1
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1279        | 1.0   | 516  | 0.0568          | 0.9799   |
-
-
 ### Framework versions
 
 - Transformers 4.46.2

all_results.json

@@ -1,5 +1,10 @@
 {
     "epoch": 1.0,
+    "eval_accuracy": 0.9874031007751938,
+    "eval_loss": 0.04299188777804375,
+    "eval_runtime": 53.345,
+    "eval_samples_per_second": 77.383,
+    "eval_steps_per_second": 9.673,
     "total_flos": 5.373364651307827e+17,
     "train_loss": 0.5028278545815815,
     "train_runtime": 599.3147,

eval_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 1.0,
-    "eval_accuracy": 0.9777131782945736,
-    "eval_loss": 0.06364382058382034,
-    "eval_runtime": 43.0533,
-    "eval_samples_per_second": 95.881,
-    "eval_steps_per_second": 11.985
+    "eval_accuracy": 0.9874031007751938,
+    "eval_loss": 0.04299188777804375,
+    "eval_runtime": 53.345,
+    "eval_samples_per_second": 77.383,
+    "eval_steps_per_second": 9.673
 }

runs/Nov18_15-23-22_55f2c01d5672/events.out.tfevents.1731945282.55f2c01d5672.280.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bcf3a1896b18d2b917b1a9c671a741aca8eed7dea8ef0bbbc2bd70bbf918c0b9
+size 411