End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2908
+- Loss: -34.0382
 - Mean Iou: 0.0
 - Mean Accuracy: nan
 - Overall Accuracy: nan
@@ -51,16 +51,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou | Per Category Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:----------------:|:---------------------:|
-| 0.5788        | 0.95  | 20   | 0.5834          | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
-| 0.4819        | 1.9   | 40   | 0.4197          | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
-| 0.4489        | 2.86  | 60   | 0.3899          | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
-| 0.4007        | 3.81  | 80   | 0.3601          | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
-| 0.3657        | 4.76  | 100  | 0.3487          | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
-| 0.351         | 5.71  | 120  | 0.3435          | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
-| 0.3158        | 6.67  | 140  | 0.3149          | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
-| 0.3116        | 7.62  | 160  | 0.2944          | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
-| 0.2921        | 8.57  | 180  | 0.2926          | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
-| 0.2983        | 9.52  | 200  | 0.2908          | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
+| -14.0066      | 0.95  | 20   | -4.7161         | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
+| -22.6107      | 1.9   | 40   | -10.5378        | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
+| -19.9201      | 2.86  | 60   | -21.2021        | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
+| -28.3712      | 3.81  | 80   | -21.2437        | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
+| -37.3469      | 4.76  | 100  | -28.5338        | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
+| -37.3102      | 5.71  | 120  | -31.3866        | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
+| -39.3847      | 6.67  | 140  | -36.0143        | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
+| -39.0931      | 7.62  | 160  | -31.5379        | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
+| -43.0727      | 8.57  | 180  | -33.0026        | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
+| -47.8338      | 9.52  | 200  | -34.0382        | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
 
 
 ### Framework versions

config.json

@@ -28,12 +28,12 @@
     256
   ],
   "id2label": {
-    "100": "signal"
+    "99": "signal"
   },
   "image_size": 224,
   "initializer_range": 0.02,
   "label2id": {
-    "signal": 100
+    "signal": 99
   },
   "layer_norm_eps": 1e-06,
   "mlp_ratios": [

model.safetensors

@@ -1,3 +1,3 @@
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 size 14883748

runs/Apr17_13-42-33_f83220c31487/events.out.tfevents.1713361354.f83220c31487.1338.0

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+size 53518

training_args.bin

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 size 4920