Model save

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/convnextv2-base-22k-224](https://huggingface.co/facebook/convnextv2-base-22k-224) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9781
-- Accuracy: 0.5748
-- F1: 0.5697
-- Precision: 0.5822
-- Recall: 0.5748
+- Loss: 0.9442
+- Accuracy: 0.5859
+- F1: 0.5700
+- Precision: 0.5692
+- Recall: 0.5859
 
 ## Model description
 
@@ -59,18 +59,18 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 1.2643        | 0.9951  | 102  | 1.1487          | 0.5207   | 0.4764 | 0.4783    | 0.5207 |
-| 1.1889        | 2.0     | 205  | 1.1038          | 0.5087   | 0.5191 | 0.5565    | 0.5087 |
-| 1.215         | 2.9951  | 307  | 1.0810          | 0.4830   | 0.4795 | 0.5589    | 0.4830 |
-| 1.1062        | 4.0     | 410  | 1.0103          | 0.5620   | 0.5281 | 0.5358    | 0.5620 |
-| 1.089         | 4.9951  | 512  | 1.0459          | 0.5344   | 0.5440 | 0.5720    | 0.5344 |
-| 1.0335        | 6.0     | 615  | 0.9781          | 0.5748   | 0.5697 | 0.5822    | 0.5748 |
-| 1.0139        | 6.9951  | 717  | 0.9905          | 0.5592   | 0.5605 | 0.5625    | 0.5592 |
-| 0.9047        | 8.0     | 820  | 0.9877          | 0.5629   | 0.5525 | 0.5482    | 0.5629 |
-| 0.8856        | 8.9951  | 922  | 1.0060          | 0.5565   | 0.5569 | 0.5593    | 0.5565 |
-| 0.8306        | 10.0    | 1025 | 0.9907          | 0.5666   | 0.5574 | 0.5531    | 0.5666 |
-| 0.8458        | 10.9951 | 1127 | 1.0135          | 0.5500   | 0.5489 | 0.5506    | 0.5500 |
-| 0.815         | 11.9415 | 1224 | 1.0185          | 0.5491   | 0.5520 | 0.5558    | 0.5491 |
+| 1.2755        | 0.9963  | 68   | 1.2008          | 0.4904   | 0.3910 | 0.4577    | 0.4904 |
+| 1.1711        | 1.9927  | 136  | 1.0651          | 0.5354   | 0.4766 | 0.4865    | 0.5354 |
+| 1.1599        | 2.9890  | 204  | 1.0533          | 0.5418   | 0.5077 | 0.5275    | 0.5418 |
+| 1.1595        | 4.0     | 273  | 1.0423          | 0.5455   | 0.5414 | 0.5691    | 0.5455 |
+| 1.096         | 4.9963  | 341  | 1.0160          | 0.5611   | 0.5463 | 0.5419    | 0.5611 |
+| 1.0592        | 5.9927  | 409  | 0.9847          | 0.5767   | 0.5415 | 0.5485    | 0.5767 |
+| 1.0706        | 6.9890  | 477  | 0.9868          | 0.5886   | 0.5836 | 0.5862    | 0.5886 |
+| 1.0404        | 8.0     | 546  | 0.9758          | 0.5868   | 0.5737 | 0.5695    | 0.5868 |
+| 1.0059        | 8.9963  | 614  | 0.9468          | 0.5932   | 0.5674 | 0.5709    | 0.5932 |
+| 0.965         | 9.9927  | 682  | 0.9565          | 0.5932   | 0.5804 | 0.5858    | 0.5932 |
+| 0.9362        | 10.9890 | 750  | 0.9466          | 0.5886   | 0.5778 | 0.5768    | 0.5886 |
+| 0.9334        | 11.9560 | 816  | 0.9442          | 0.5859   | 0.5700 | 0.5692    | 0.5859 |
 
 
 ### Framework versions

model.safetensors

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runs/Sep04_13-14-39_5bdf525bf655/events.out.tfevents.1725455702.5bdf525bf655.4076.2

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