Model save

README.md

@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2328
-- Logloss: 1.2328
-- Accuracy: {'accuracy': 0.5220588235294118}
+- Loss: 1.1657
+- Logloss: 1.1657
+- Accuracy: {'accuracy': 0.5808823529411765}
 
 ## Model description
 
@@ -47,27 +47,31 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 15
+- num_epochs: 20
 
 ### Training results
 
 | Training Loss | Epoch   | Step | Validation Loss | Logloss | Accuracy                          |
 |:-------------:|:-------:|:----:|:---------------:|:-------:|:---------------------------------:|
-| No log        | 0.9412  | 8    | 1.6104          | 1.6104  | {'accuracy': 0.2426470588235294}  |
-| 1.6172        | 2.0     | 17   | 1.5560          | 1.5560  | {'accuracy': 0.2867647058823529}  |
-| 1.5532        | 2.9412  | 25   | 1.5107          | 1.5107  | {'accuracy': 0.36764705882352944} |
-| 1.4806        | 4.0     | 34   | 1.4612          | 1.4612  | {'accuracy': 0.40441176470588236} |
-| 1.4041        | 4.9412  | 42   | 1.4208          | 1.4208  | {'accuracy': 0.43014705882352944} |
-| 1.3407        | 6.0     | 51   | 1.3774          | 1.3774  | {'accuracy': 0.4632352941176471}  |
-| 1.3407        | 6.9412  | 59   | 1.3422          | 1.3422  | {'accuracy': 0.45588235294117646} |
-| 1.2852        | 8.0     | 68   | 1.3110          | 1.3110  | {'accuracy': 0.47058823529411764} |
-| 1.2272        | 8.9412  | 76   | 1.2849          | 1.2849  | {'accuracy': 0.49264705882352944} |
-| 1.1841        | 10.0    | 85   | 1.2634          | 1.2634  | {'accuracy': 0.5073529411764706}  |
-| 1.1625        | 10.9412 | 93   | 1.2540          | 1.2540  | {'accuracy': 0.49264705882352944} |
-| 1.1166        | 12.0    | 102  | 1.2423          | 1.2423  | {'accuracy': 0.5147058823529411}  |
-| 1.1079        | 12.9412 | 110  | 1.2351          | 1.2351  | {'accuracy': 0.5257352941176471}  |
-| 1.1079        | 14.0    | 119  | 1.2328          | 1.2328  | {'accuracy': 0.5220588235294118}  |
-| 1.0974        | 14.1176 | 120  | 1.2328          | 1.2328  | {'accuracy': 0.5220588235294118}  |
+| No log        | 0.9412  | 8    | 1.6072          | 1.6072  | {'accuracy': 0.18382352941176472} |
+| 1.6101        | 2.0     | 17   | 1.5668          | 1.5668  | {'accuracy': 0.31985294117647056} |
+| 1.5645        | 2.9412  | 25   | 1.5246          | 1.5246  | {'accuracy': 0.33455882352941174} |
+| 1.4902        | 4.0     | 34   | 1.4774          | 1.4774  | {'accuracy': 0.4007352941176471}  |
+| 1.4243        | 4.9412  | 42   | 1.4283          | 1.4283  | {'accuracy': 0.44485294117647056} |
+| 1.3502        | 6.0     | 51   | 1.3747          | 1.3747  | {'accuracy': 0.48161764705882354} |
+| 1.3502        | 6.9412  | 59   | 1.3332          | 1.3332  | {'accuracy': 0.48161764705882354} |
+| 1.2906        | 8.0     | 68   | 1.2978          | 1.2978  | {'accuracy': 0.5036764705882353}  |
+| 1.2371        | 8.9412  | 76   | 1.2702          | 1.2702  | {'accuracy': 0.5147058823529411}  |
+| 1.1856        | 10.0    | 85   | 1.2434          | 1.2434  | {'accuracy': 0.5404411764705882}  |
+| 1.1506        | 10.9412 | 93   | 1.2300          | 1.2300  | {'accuracy': 0.5477941176470589}  |
+| 1.0987        | 12.0    | 102  | 1.2088          | 1.2088  | {'accuracy': 0.5588235294117647}  |
+| 1.0758        | 12.9412 | 110  | 1.1949          | 1.1949  | {'accuracy': 0.5514705882352942}  |
+| 1.0758        | 14.0    | 119  | 1.1896          | 1.1896  | {'accuracy': 0.5588235294117647}  |
+| 1.0483        | 14.9412 | 127  | 1.1773          | 1.1773  | {'accuracy': 0.5698529411764706}  |
+| 1.0346        | 16.0    | 136  | 1.1719          | 1.1719  | {'accuracy': 0.5735294117647058}  |
+| 1.0215        | 16.9412 | 144  | 1.1702          | 1.1702  | {'accuracy': 0.5698529411764706}  |
+| 1.0177        | 18.0    | 153  | 1.1666          | 1.1666  | {'accuracy': 0.5772058823529411}  |
+| 0.9956        | 18.8235 | 160  | 1.1657          | 1.1657  | {'accuracy': 0.5808823529411765}  |
 
 
 ### Framework versions

runs/Sep04_15-28-02_0ea876ca526a/events.out.tfevents.1725463694.0ea876ca526a.551.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 19168
+oid sha256:dc9329760c4cdc8e36a7ccc6c611da6d1433849be9bc9e896f8d566f39ce7c33
+size 19844