End of training

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0060
+- Loss: 0.0013
 - Accuracy: 1.0
 
 ## Model description
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 125  | 0.0508          | 1.0      |
-| No log        | 2.0   | 250  | 0.0158          | 1.0      |
-| No log        | 3.0   | 375  | 0.0085          | 1.0      |
-| 0.0854        | 4.0   | 500  | 0.0074          | 1.0      |
-| 0.0854        | 5.0   | 625  | 0.0060          | 1.0      |
+| No log        | 1.0   | 125  | 0.0057          | 1.0      |
+| No log        | 2.0   | 250  | 0.0030          | 1.0      |
+| No log        | 3.0   | 375  | 0.0017          | 1.0      |
+| 0.0066        | 4.0   | 500  | 0.0014          | 1.0      |
+| 0.0066        | 5.0   | 625  | 0.0013          | 1.0      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5a837dfae93dcd1df6a1d332a2d1aa7c5010cb510af06787bcd193ed5d6a0371
+oid sha256:a319a07fab2b8f6a38cd7a4118ab3e33b7d6fd6adeed856c7bd33eff09d16fab
 size 94302952

preprocessor_config.json

@@ -0,0 +1,22 @@
+{
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ConvNextImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}