End of training

README.md

@@ -25,16 +25,16 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.842911877394636
+      value: 0.8565346956151554
     - name: Recall
       type: recall
-      value: 0.842911877394636
+      value: 0.8565346956151554
     - name: F1
       type: f1
-      value: 0.8385784325520474
+      value: 0.853731165851545
     - name: Precision
       type: precision
-      value: 0.8458268067820361
+      value: 0.8631033150629456
 ---
 
 <!-- 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-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4148
-- Accuracy: 0.8429
-- Recall: 0.8429
-- F1: 0.8386
-- Precision: 0.8458
+- Loss: 0.3601
+- Accuracy: 0.8565
+- Recall: 0.8565
+- F1: 0.8537
+- Precision: 0.8631
 
 ## Model description
 
@@ -82,16 +82,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy | Recall | F1     | Precision |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
-| 0.6967        | 0.9974 | 293  | 0.6602          | 0.7854   | 0.7854 | 0.7724 | 0.7895    |
-| 0.5364        | 1.9983 | 587  | 0.4842          | 0.8221   | 0.8221 | 0.8126 | 0.8248    |
-| 0.4465        | 2.9991 | 881  | 0.4177          | 0.8323   | 0.8323 | 0.8292 | 0.8317    |
-| 0.4608        | 4.0    | 1175 | 0.4302          | 0.8340   | 0.8340 | 0.8285 | 0.8428    |
-| 0.4887        | 4.9974 | 1468 | 0.3843          | 0.8421   | 0.8421 | 0.8385 | 0.8487    |
-| 0.3815        | 5.9983 | 1762 | 0.4016          | 0.8438   | 0.8438 | 0.8398 | 0.8460    |
-| 0.2856        | 6.9991 | 2056 | 0.3771          | 0.8506   | 0.8506 | 0.8464 | 0.8506    |
-| 0.4721        | 8.0    | 2350 | 0.3709          | 0.8391   | 0.8391 | 0.8382 | 0.8417    |
-| 0.3126        | 8.9974 | 2643 | 0.3668          | 0.8348   | 0.8348 | 0.8330 | 0.8352    |
-| 0.3791        | 9.9745 | 2930 | 0.3643          | 0.8335   | 0.8335 | 0.8322 | 0.8340    |
+| No log        | 0.9974 | 293  | 0.6645          | 0.7820   | 0.7820 | 0.7661 | 0.7678    |
+| No log        | 1.9983 | 587  | 0.5493          | 0.8033   | 0.8033 | 0.7897 | 0.7964    |
+| No log        | 2.9991 | 881  | 0.4242          | 0.8416   | 0.8416 | 0.8380 | 0.8460    |
+| No log        | 4.0    | 1175 | 0.4124          | 0.8310   | 0.8310 | 0.8288 | 0.8299    |
+| No log        | 4.9974 | 1468 | 0.3769          | 0.8412   | 0.8412 | 0.8388 | 0.8478    |
+| No log        | 5.9983 | 1762 | 0.3589          | 0.8501   | 0.8501 | 0.8481 | 0.8582    |
+| No log        | 6.9991 | 2056 | 0.3503          | 0.8455   | 0.8455 | 0.8456 | 0.8535    |
+| No log        | 8.0    | 2350 | 0.3400          | 0.8404   | 0.8404 | 0.8416 | 0.8465    |
+| No log        | 8.9974 | 2643 | 0.3533          | 0.8480   | 0.8480 | 0.8480 | 0.8501    |
+| 0.5214        | 9.9745 | 2930 | 0.3358          | 0.8459   | 0.8459 | 0.8460 | 0.8473    |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:80f231bc39749a85bab010452edcaba8e597d5773209af06c37127cb4e6a97b9
+oid sha256:3ef84f626422376a210ea4379bc357ef960cb539e6a11698ce5f6bce2a776c04
 size 110396292

runs/May02_11-17-47_60f4804cf903/events.out.tfevents.1714649853.60f4804cf903.7531.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:05caedc68adf97d6f4e6b58f6971d275bce55070c74e3a6a3143c8ced67cecbd
+size 560