Model save

README.md

@@ -2,7 +2,6 @@
 license: apache-2.0
 base_model: microsoft/swinv2-tiny-patch4-window16-256
 tags:
-- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # save-model-final
 
-This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window16-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window16-256) on the jbarat/plant_species dataset.
+This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window16-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window16-256) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4731
-- Accuracy: 0.8875
+- Loss: 0.3658
+- Accuracy: 0.875
 
 ## Model description
 
@@ -44,17 +43,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 10   | 0.6664          | 0.825    |
-| No log        | 2.0   | 20   | 0.6177          | 0.775    |
-| No log        | 3.0   | 30   | 0.8298          | 0.7375   |
-| No log        | 4.0   | 40   | 0.4524          | 0.875    |
-| No log        | 5.0   | 50   | 0.4659          | 0.8625   |
+| No log        | 1.0   | 10   | 1.0202          | 0.675    |
+| No log        | 2.0   | 20   | 0.7625          | 0.7375   |
+| No log        | 3.0   | 30   | 0.5602          | 0.8625   |
+| No log        | 4.0   | 40   | 0.5282          | 0.825    |
+| No log        | 5.0   | 50   | 0.8285          | 0.7875   |
+| No log        | 6.0   | 60   | 0.6724          | 0.825    |
+| No log        | 7.0   | 70   | 0.7429          | 0.8125   |
+| No log        | 8.0   | 80   | 0.9518          | 0.8125   |
+| No log        | 9.0   | 90   | 0.8012          | 0.8125   |
+| 0.2718        | 10.0  | 100  | 0.8500          | 0.8125   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:84b7cf704cfbfc773143caf4cfb1153071cba65f2076725d62a3f9a9da6edf8a
 size 110368600

runs/May19_08-31-42_87348b236d5a/events.out.tfevents.1716107680.87348b236d5a.24.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8cd29191bf76215a7fe731354358b85b224cb7316938d209df1bc0c1b5b2675b
+size 405