Model save

README.md

@@ -21,11 +21,11 @@ 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: 0.9672
-- Accuracy: 0.6208
-- Precision: 0.5826
-- Recall: 0.6208
-- F1: 0.5945
+- Loss: 0.9272
+- Accuracy: 0.6275
+- Precision: 0.6426
+- Recall: 0.6275
+- F1: 0.6068
 
 ## Model description
 
@@ -53,17 +53,22 @@ 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: 5
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 1.0428        | 0.9846 | 32   | 1.0478          | 0.6015   | 0.5745    | 0.6015 | 0.5679 |
-| 0.9978        | 2.0    | 65   | 1.0032          | 0.6054   | 0.5653    | 0.6054 | 0.5762 |
-| 0.9449        | 2.9846 | 97   | 0.9914          | 0.6035   | 0.5685    | 0.6035 | 0.5763 |
-| 0.9432        | 4.0    | 130  | 0.9739          | 0.6141   | 0.5748    | 0.6141 | 0.5875 |
-| 0.9196        | 4.9231 | 160  | 0.9672          | 0.6208   | 0.5826    | 0.6208 | 0.5945 |
+| 1.281         | 0.9846 | 32   | 1.2165          | 0.5428   | 0.5230    | 0.5428 | 0.4989 |
+| 1.0964        | 2.0    | 65   | 1.0549          | 0.5823   | 0.5459    | 0.5823 | 0.5427 |
+| 0.9929        | 2.9846 | 97   | 0.9905          | 0.6169   | 0.5755    | 0.6169 | 0.5848 |
+| 0.9804        | 4.0    | 130  | 0.9691          | 0.6131   | 0.5734    | 0.6131 | 0.5867 |
+| 0.9389        | 4.9846 | 162  | 0.9539          | 0.6246   | 0.5874    | 0.6246 | 0.6007 |
+| 0.9078        | 6.0    | 195  | 0.9536          | 0.6189   | 0.5910    | 0.6189 | 0.5973 |
+| 0.8741        | 6.9846 | 227  | 0.9333          | 0.6333   | 0.5947    | 0.6333 | 0.6098 |
+| 0.8523        | 8.0    | 260  | 0.9322          | 0.6323   | 0.5952    | 0.6323 | 0.6122 |
+| 0.8222        | 8.9846 | 292  | 0.9354          | 0.6198   | 0.6361    | 0.6198 | 0.5992 |
+| 0.7975        | 9.8462 | 320  | 0.9272          | 0.6275   | 0.6426    | 0.6275 | 0.6068 |
 
 
 ### Framework versions

runs/Sep04_23-29-33_9dd536aedd2c/events.out.tfevents.1725492580.9dd536aedd2c.674.0

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