End of training

README.md

@@ -25,16 +25,16 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8407833120476799
+      value: 0.8463175819497658
     - name: Recall
       type: recall
-      value: 0.8407833120476799
+      value: 0.8463175819497658
     - name: F1
       type: f1
-      value: 0.8382298834449193
+      value: 0.8463640211224454
     - name: Precision
       type: precision
-      value: 0.8403613762272836
+      value: 0.8481964005333177
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -44,11 +44,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window8-256](https://huggingface.co/microsoft/swinv2-base-patch4-window8-256) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3672
-- Accuracy: 0.8408
-- Recall: 0.8408
-- F1: 0.8382
-- Precision: 0.8404
+- Loss: 0.3463
+- Accuracy: 0.8463
+- Recall: 0.8463
+- F1: 0.8464
+- Precision: 0.8482
 
 ## Model description
 
@@ -82,16 +82,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy | Recall | F1     | Precision |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
-| 0.6524        | 0.9974 | 293  | 0.5989          | 0.7986   | 0.7986 | 0.7886 | 0.7959    |
-| 0.5004        | 1.9983 | 587  | 0.4830          | 0.8110   | 0.8110 | 0.8078 | 0.8190    |
-| 0.3912        | 2.9991 | 881  | 0.4254          | 0.8199   | 0.8199 | 0.8162 | 0.8196    |
-| 0.4007        | 4.0    | 1175 | 0.4324          | 0.8301   | 0.8301 | 0.8251 | 0.8302    |
-| 0.2694        | 4.9974 | 1468 | 0.4215          | 0.8272   | 0.8272 | 0.8218 | 0.8301    |
-| 0.3865        | 5.9983 | 1762 | 0.3620          | 0.8459   | 0.8459 | 0.8438 | 0.8471    |
-| 0.2748        | 6.9991 | 2056 | 0.3733          | 0.8395   | 0.8395 | 0.8354 | 0.8510    |
-| 0.3471        | 8.0    | 2350 | 0.3594          | 0.8370   | 0.8370 | 0.8364 | 0.8434    |
-| 0.3361        | 8.9974 | 2643 | 0.3632          | 0.8404   | 0.8404 | 0.8386 | 0.8414    |
-| 0.2399        | 9.9745 | 2930 | 0.3436          | 0.8455   | 0.8455 | 0.8446 | 0.8469    |
+| No log        | 0.9974 | 293  | 0.6222          | 0.7901   | 0.7901 | 0.7737 | 0.7747    |
+| No log        | 1.9983 | 587  | 0.4901          | 0.8063   | 0.8063 | 0.7998 | 0.8066    |
+| No log        | 2.9991 | 881  | 0.4374          | 0.8225   | 0.8225 | 0.8170 | 0.8356    |
+| No log        | 4.0    | 1175 | 0.4262          | 0.8340   | 0.8340 | 0.8270 | 0.8541    |
+| No log        | 4.9974 | 1468 | 0.4079          | 0.8310   | 0.8310 | 0.8290 | 0.8379    |
+| No log        | 5.9983 | 1762 | 0.4117          | 0.8370   | 0.8370 | 0.8361 | 0.8509    |
+| No log        | 6.9991 | 2056 | 0.3807          | 0.8370   | 0.8370 | 0.8361 | 0.8416    |
+| No log        | 8.0    | 2350 | 0.3419          | 0.8595   | 0.8595 | 0.8583 | 0.8609    |
+| No log        | 8.9974 | 2643 | 0.3628          | 0.8438   | 0.8438 | 0.8424 | 0.8448    |
+| 0.4492        | 9.9745 | 2930 | 0.3638          | 0.8399   | 0.8399 | 0.8394 | 0.8410    |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6e099e7bf531895a32700e1f914fb4d5d7f8eea6302b3bb81e00b37f59b0cb57
 size 347706996

runs/May02_10-39-03_60f4804cf903/events.out.tfevents.1714648576.60f4804cf903.6623.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:173fe06ccd9c3637c294227bce62be9666a584d3a29b9ab5402ae05ce65c4633
+size 560