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zkdeng
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10-convnextv2-base-22k-384-finetuned-spiderTraining100-1000

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convnextv2
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@@ -20,10 +20,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/convnextv2-base-22k-384](https://huggingface.co/facebook/convnextv2-base-22k-384) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2611
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- - Accuracy: 0.9311
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- - Precision: 0.9312
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- - Recall: 0.9305
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  - F1: 0.9305
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  ## Model description
@@ -59,16 +59,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 1.2855 | 1.0 | 740 | 0.9570 | 0.7249 | 0.7636 | 0.7237 | 0.7229 |
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- | 1.1598 | 2.0 | 1481 | 0.8161 | 0.7716 | 0.7971 | 0.7687 | 0.7706 |
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- | 0.9069 | 3.0 | 2222 | 0.5952 | 0.8293 | 0.8427 | 0.8283 | 0.8288 |
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- | 0.7519 | 4.0 | 2963 | 0.5196 | 0.8492 | 0.8611 | 0.8483 | 0.8494 |
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- | 0.6357 | 5.0 | 3703 | 0.4439 | 0.8705 | 0.8762 | 0.8693 | 0.8689 |
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- | 0.5657 | 6.0 | 4444 | 0.4054 | 0.8891 | 0.8929 | 0.8885 | 0.8884 |
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- | 0.4628 | 7.0 | 5185 | 0.3494 | 0.9038 | 0.9059 | 0.9033 | 0.9033 |
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- | 0.3256 | 8.0 | 5926 | 0.3138 | 0.9150 | 0.9171 | 0.9141 | 0.9145 |
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- | 0.3567 | 9.0 | 6666 | 0.2789 | 0.9257 | 0.9262 | 0.9251 | 0.9251 |
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- | 0.3313 | 9.99 | 7400 | 0.2611 | 0.9311 | 0.9312 | 0.9305 | 0.9305 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/convnextv2-base-22k-384](https://huggingface.co/facebook/convnextv2-base-22k-384) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2678
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+ - Accuracy: 0.9313
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+ - Precision: 0.9311
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+ - Recall: 0.9308
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  - F1: 0.9305
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 1.4003 | 1.0 | 740 | 1.0372 | 0.7086 | 0.7534 | 0.7061 | 0.7057 |
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+ | 1.157 | 2.0 | 1481 | 0.7866 | 0.7733 | 0.8025 | 0.7714 | 0.7726 |
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+ | 0.9605 | 3.0 | 2222 | 0.5709 | 0.8352 | 0.8458 | 0.8346 | 0.8345 |
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+ | 0.7619 | 4.0 | 2963 | 0.4979 | 0.8576 | 0.8659 | 0.8563 | 0.8571 |
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+ | 0.6643 | 5.0 | 3703 | 0.4230 | 0.8807 | 0.8870 | 0.8794 | 0.8797 |
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+ | 0.5426 | 6.0 | 4444 | 0.3959 | 0.8898 | 0.8938 | 0.8889 | 0.8887 |
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+ | 0.5035 | 7.0 | 5185 | 0.3426 | 0.9041 | 0.9063 | 0.9038 | 0.9034 |
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+ | 0.3408 | 8.0 | 5926 | 0.3108 | 0.9188 | 0.9198 | 0.9179 | 0.9180 |
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+ | 0.348 | 9.0 | 6666 | 0.2885 | 0.9238 | 0.9245 | 0.9230 | 0.9230 |
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+ | 0.3402 | 9.99 | 7400 | 0.2678 | 0.9313 | 0.9311 | 0.9308 | 0.9305 |
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  ### Framework versions