End of training

README.md

@@ -1,12 +1,12 @@
 ---
-base_model: nvidia/segformer-b1-finetuned-ade-512-512
 license: other
-metrics:
-- precision
+base_model: nvidia/segformer-b1-finetuned-ade-512-512
 tags:
 - vision
 - image-segmentation
 - generated_from_trainer
+metrics:
+- precision
 model-index:
 - name: segformer-b1-finetuned-segments-pv_v1_normalized_p100_4batch_fp_try_8_1
   results: []
@@ -15,15 +15,17 @@ 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/qu38v20e)
+[<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/qu38v20e)
 [<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/qu38v20e)
 [<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/qu38v20e)
 # segformer-b1-finetuned-segments-pv_v1_normalized_p100_4batch_fp_try_8_1
 
 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: 0.0062
-- Mean Iou: 0.8348
-- Precision: 0.8991
+- Loss: 0.0060
+- Mean Iou: 0.8344
+- Precision: 0.8932
 
 ## Model description
 
@@ -56,7 +58,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Precision |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|
-| 0.0227        | 1.0   | 917  | 0.0062          | 0.8348   | 0.8991    |
+| 0.0225        | 1.0   | 917  | 0.0060          | 0.8344   | 0.8932    |
 
 
 ### Framework versions

model.safetensors

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runs/Jul31_23-39-36_efff269dd5fb/events.out.tfevents.1722469178.efff269dd5fb.35.2

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training_args.bin

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 size 5240