Model save

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/convnext-small-224](https://huggingface.co/facebook/convnext-small-224) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2936
-- Accuracy: 0.3774
+- Loss: 1.1157
+- Accuracy: 0.5283
 
 ## Model description
 
@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_ratio: 0.05
-- num_epochs: 5
+- num_epochs: 25
 - mixed_precision_training: Native AMP
 - label_smoothing_factor: 0.05
 
@@ -53,11 +53,31 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.3729        | 1.0   | 80   | 1.3303          | 0.3962   |
-| 1.3243        | 2.0   | 160  | 1.3051          | 0.3821   |
-| 1.3093        | 3.0   | 240  | 1.2962          | 0.3774   |
-| 1.2908        | 4.0   | 320  | 1.2941          | 0.3821   |
-| 1.2836        | 5.0   | 400  | 1.2936          | 0.3774   |
+| 1.326         | 1.0   | 80   | 1.2990          | 0.3868   |
+| 1.2698        | 2.0   | 160  | 1.2875          | 0.3726   |
+| 1.2271        | 3.0   | 240  | 1.2136          | 0.4245   |
+| 1.1742        | 4.0   | 320  | 1.1844          | 0.4717   |
+| 1.1507        | 5.0   | 400  | 1.1472          | 0.4906   |
+| 1.1228        | 6.0   | 480  | 1.1568          | 0.4623   |
+| 1.0484        | 7.0   | 560  | 1.1222          | 0.4811   |
+| 1.0224        | 8.0   | 640  | 1.1054          | 0.5425   |
+| 0.9876        | 9.0   | 720  | 1.1333          | 0.5      |
+| 0.9897        | 10.0  | 800  | 1.1368          | 0.4811   |
+| 0.9133        | 11.0  | 880  | 1.0923          | 0.5      |
+| 0.8814        | 12.0  | 960  | 1.1101          | 0.4717   |
+| 0.8185        | 13.0  | 1040 | 1.1416          | 0.4953   |
+| 0.7917        | 14.0  | 1120 | 1.1237          | 0.5047   |
+| 0.7773        | 15.0  | 1200 | 1.0994          | 0.5047   |
+| 0.7289        | 16.0  | 1280 | 1.1059          | 0.5094   |
+| 0.7337        | 17.0  | 1360 | 1.1085          | 0.5142   |
+| 0.7052        | 18.0  | 1440 | 1.1131          | 0.5189   |
+| 0.6703        | 19.0  | 1520 | 1.1068          | 0.5330   |
+| 0.6482        | 20.0  | 1600 | 1.1251          | 0.5189   |
+| 0.6421        | 21.0  | 1680 | 1.1164          | 0.5283   |
+| 0.6738        | 22.0  | 1760 | 1.1147          | 0.5377   |
+| 0.6459        | 23.0  | 1840 | 1.1152          | 0.5283   |
+| 0.6302        | 24.0  | 1920 | 1.1156          | 0.5283   |
+| 0.689         | 25.0  | 2000 | 1.1157          | 0.5283   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6743894b21c512690d6663f30f339f84be7626a1228747ac96df326789320545
+oid sha256:b128b585df537771efb543f894ddc0cd927c0e9316bdac7daba2dc9ebd8092a5
 size 201026160

runs/Nov28_10-18-28_algo-1/events.out.tfevents.1764325223.algo-1.68.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0aa6a8280b0754fde5cea003f675a338a652fd78ac091c08bd6e08cbd22d3d0a
-size 21219
+oid sha256:8be2823c1db7f79f6cba462de4a20897a23b61b31e6c86de00c4edb7c66c2e90
+size 22318