end 20

README.md

@@ -18,41 +18,41 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nancyalarabawy/segformer-finetuned-segments-plantleafdisease-may-25](https://huggingface.co/nancyalarabawy/segformer-finetuned-segments-plantleafdisease-may-25) on the all plus aug dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.0233
-- eval_mean_iou: 0.7365
-- eval_mean_accuracy: 0.9062
-- eval_overall_accuracy: 0.9918
+- eval_loss: 0.0249
+- eval_mean_iou: 0.7343
+- eval_mean_accuracy: 0.9143
+- eval_overall_accuracy: 0.9916
 - eval_accuracy_unlabeled: nan
-- eval_accuracy_healthy: 0.9811
-- eval_accuracy_blast: 0.8362
-- eval_accuracy_background: 0.9977
-- eval_accuracy_alstonia herpes: 0.8690
-- eval_accuracy_mango anthracnose: 0.8756
-- eval_accuracy_pomengrate spots: 0.9401
-- eval_accuracy_blight spots: 0.9037
-- eval_accuracy_chlorisis: 0.9443
-- eval_accuracy_leaf spots: 0.9111
-- eval_accuracy_apple scab: 0.8173
-- eval_accuracy_black rot: 0.8664
-- eval_accuracy_cedar rust: 0.9323
+- eval_accuracy_healthy: 0.9793
+- eval_accuracy_blast: 0.8515
+- eval_accuracy_background: 0.9975
+- eval_accuracy_alstonia herpes: 0.8681
+- eval_accuracy_mango anthracnose: 0.9324
+- eval_accuracy_pomengrate spots: 0.9287
+- eval_accuracy_blight spots: 0.8965
+- eval_accuracy_chlorisis: 0.9437
+- eval_accuracy_leaf spots: 0.9202
+- eval_accuracy_apple scab: 0.8324
+- eval_accuracy_black rot: 0.8689
+- eval_accuracy_cedar rust: 0.9524
 - eval_iou_unlabeled: 0.0
-- eval_iou_healthy: 0.9696
-- eval_iou_blast: 0.7695
-- eval_iou_background: 0.9953
-- eval_iou_alstonia herpes: 0.7583
-- eval_iou_mango anthracnose: 0.6794
-- eval_iou_pomengrate spots: 0.8613
-- eval_iou_blight spots: 0.6041
-- eval_iou_chlorisis: 0.9169
-- eval_iou_leaf spots: 0.7060
-- eval_iou_apple scab: 0.7381
-- eval_iou_black rot: 0.8048
-- eval_iou_cedar rust: 0.7708
-- eval_runtime: 151.6617
-- eval_samples_per_second: 17.288
-- eval_steps_per_second: 1.081
-- epoch: 9.8398
-- step: 12900
+- eval_iou_healthy: 0.9688
+- eval_iou_blast: 0.7751
+- eval_iou_background: 0.9954
+- eval_iou_alstonia herpes: 0.7589
+- eval_iou_mango anthracnose: 0.6383
+- eval_iou_pomengrate spots: 0.8674
+- eval_iou_blight spots: 0.6006
+- eval_iou_chlorisis: 0.9182
+- eval_iou_leaf spots: 0.7054
+- eval_iou_apple scab: 0.7440
+- eval_iou_black rot: 0.8054
+- eval_iou_cedar rust: 0.7679
+- eval_runtime: 151.2812
+- eval_samples_per_second: 17.332
+- eval_steps_per_second: 1.084
+- epoch: 12.5095
+- step: 16400
 
 ## Model description
 
@@ -78,7 +78,7 @@ The following hyperparameters were used during training:
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_steps: 200
-- num_epochs: 20
+- num_epochs: 15
 
 ### Framework versions
 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ba52418ea0fa6c3483e8388184817b77509de8cfdcb19b81d2fcd1de7b0b862c
+oid sha256:3a5ee3547c5b6791ce51590e676d5f9a69a9b8f7a27b32d544301d36a2a43f56
 size 256130972

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1b60e9ace122344aced7e608e86e49d89a963ac1152d3d3f615573cb031f7d9c
+oid sha256:3165798ae2e12c432972e608fca634a3d5693f3118f5e3730afc419bc4a626e1
 size 5368