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convnextv2-tiny-22k-384-finetuned-spiderTraining5-100

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zkdeng commited on Aug 8, 2024

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README.md +6 -6
pytorch_model.bin +1 -1

README.md CHANGED Viewed

@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [facebook/convnextv2-tiny-22k-384](https://huggingface.co/facebook/convnextv2-tiny-22k-384) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4612
 - Accuracy: 0.9
 - Precision: 0.9035
 - Recall: 0.9103
@@ -58,11 +58,11 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 0.96  | 6    | 1.1803          | 0.68     | 0.6789    | 0.6869 | 0.6751 |
-| 1.3235        | 1.92  | 12   | 0.7862          | 0.84     | 0.8603    | 0.8570 | 0.8388 |
-| 1.3235        | 2.88  | 18   | 0.5749          | 0.9      | 0.9035    | 0.9103 | 0.9024 |
-| 0.6609        | 4.0   | 25   | 0.4798          | 0.9      | 0.9035    | 0.9103 | 0.9024 |
-| 0.43          | 4.8   | 30   | 0.4612          | 0.9      | 0.9035    | 0.9103 | 0.9024 |
 ### Framework versions

 This model is a fine-tuned version of [facebook/convnextv2-tiny-22k-384](https://huggingface.co/facebook/convnextv2-tiny-22k-384) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.4642
 - Accuracy: 0.9
 - Precision: 0.9035
 - Recall: 0.9103
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 0.96  | 6    | 1.1802          | 0.68     | 0.6789    | 0.6869 | 0.6751 |
+| 1.3233        | 1.92  | 12   | 0.7867          | 0.84     | 0.8603    | 0.8570 | 0.8388 |
+| 1.3233        | 2.88  | 18   | 0.5761          | 0.9      | 0.9035    | 0.9103 | 0.9024 |
+| 0.6617        | 4.0   | 25   | 0.4823          | 0.9      | 0.9035    | 0.9103 | 0.9024 |
+| 0.4323        | 4.8   | 30   | 0.4642          | 0.9      | 0.9035    | 0.9103 | 0.9024 |
 ### Framework versions

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