End of training

README.md

@@ -1,13 +1,13 @@
 ---
-base_model: nvidia/segformer-b1-finetuned-ade-512-512
 license: other
-metrics:
-- precision
-- recall
+base_model: nvidia/segformer-b1-finetuned-ade-512-512
 tags:
 - vision
 - image-segmentation
 - generated_from_trainer
+metrics:
+- precision
+- recall
 model-index:
 - name: segformer-b1-finetuned-segments-pv_v1_normalized_p100_4batch_try_7_31
   results: []
@@ -16,15 +16,15 @@ model-index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mouadn773/huggingface/runs/cuhtnvw1)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mouadn773/huggingface/runs/ouhe0d9s)
 # segformer-b1-finetuned-segments-pv_v1_normalized_p100_4batch_try_7_31
 
 This model is a fine-tuned version of [nvidia/segformer-b1-finetuned-ade-512-512](https://huggingface.co/nvidia/segformer-b1-finetuned-ade-512-512) on the mouadenna/satellite_PV_dataset_train_test_v1 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0107
-- Mean Iou: 0.8412
-- Precision: 0.9028
-- Recall: 0.9250
+- Loss: 0.0129
+- Mean Iou: 0.8407
+- Precision: 0.8909
+- Recall: 0.9372
 
 ## Model description
 
@@ -53,13 +53,12 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 1
-- mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Mean Iou | Precision | Recall |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|
-| 0.0147        | 0.9989 | 229  | 0.0107          | 0.8412   | 0.9028    | 0.9250 |
+| 0.0153        | 0.9989 | 229  | 0.0129          | 0.8407   | 0.8909    | 0.9372 |
 
 
 ### Framework versions

model.safetensors

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runs/Jul31_17-49-03_5ac096e05790/events.out.tfevents.1722448148.5ac096e05790.34.0

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training_args.bin

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