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Safetensors
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  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -20,13 +20,13 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7305
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- - Accuracy: 0.6489
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- - Precision: 0.1538
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- - Recall: 0.8
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- - F1 Score: 0.2581
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- - F2 Score: 0.4348
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- - Gmean: 0.7135
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  ## Model description
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@@ -57,21 +57,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score | F2 Score | Gmean |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|:--------:|:------:|
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- | No log | 1.0 | 57 | 0.9059 | 0.4427 | 0.1013 | 0.8 | 0.1798 | 0.3361 | 0.5750 |
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- | 0.7897 | 2.0 | 114 | 0.8198 | 0.4962 | 0.1111 | 0.8 | 0.1951 | 0.3571 | 0.6139 |
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- | 0.7897 | 3.0 | 171 | 0.7115 | 0.5802 | 0.1311 | 0.8 | 0.2254 | 0.3960 | 0.6705 |
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- | 0.7178 | 4.0 | 228 | 0.7468 | 0.5573 | 0.125 | 0.8 | 0.2162 | 0.3846 | 0.6556 |
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- | 0.7178 | 5.0 | 285 | 0.7676 | 0.5954 | 0.1356 | 0.8 | 0.2319 | 0.4040 | 0.6803 |
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- | 0.6732 | 6.0 | 342 | 0.7076 | 0.6107 | 0.1404 | 0.8 | 0.2388 | 0.4124 | 0.6900 |
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- | 0.6732 | 7.0 | 399 | 0.7810 | 0.5878 | 0.1333 | 0.8 | 0.2286 | 0.4000 | 0.6754 |
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- | 0.661 | 8.0 | 456 | 0.7100 | 0.6260 | 0.1455 | 0.8 | 0.2462 | 0.4211 | 0.6995 |
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- | 0.6143 | 9.0 | 513 | 0.7609 | 0.6031 | 0.1379 | 0.8 | 0.2353 | 0.4082 | 0.6851 |
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- | 0.6143 | 10.0 | 570 | 0.7437 | 0.6107 | 0.1404 | 0.8 | 0.2388 | 0.4124 | 0.6900 |
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- | 0.6165 | 11.0 | 627 | 0.7132 | 0.6489 | 0.1538 | 0.8 | 0.2581 | 0.4348 | 0.7135 |
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- | 0.6165 | 12.0 | 684 | 0.7226 | 0.6565 | 0.1569 | 0.8 | 0.2623 | 0.4396 | 0.7181 |
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- | 0.6183 | 13.0 | 741 | 0.7320 | 0.6565 | 0.1569 | 0.8 | 0.2623 | 0.4396 | 0.7181 |
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- | 0.6183 | 14.0 | 798 | 0.7214 | 0.6565 | 0.1569 | 0.8 | 0.2623 | 0.4396 | 0.7181 |
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- | 0.6031 | 15.0 | 855 | 0.7305 | 0.6489 | 0.1538 | 0.8 | 0.2581 | 0.4348 | 0.7135 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7503
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+ - Accuracy: 0.6336
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+ - Precision: 0.1607
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+ - Recall: 0.9
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+ - F1 Score: 0.2727
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+ - F2 Score: 0.4688
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+ - Gmean: 0.7419
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score | F2 Score | Gmean |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|:--------:|:------:|
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+ | No log | 1.0 | 57 | 0.9026 | 0.4809 | 0.0735 | 0.5 | 0.1282 | 0.2315 | 0.4896 |
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+ | 0.7464 | 2.0 | 114 | 0.7800 | 0.5725 | 0.1034 | 0.6 | 0.1765 | 0.3061 | 0.5849 |
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+ | 0.7464 | 3.0 | 171 | 0.7762 | 0.5878 | 0.1452 | 0.9 | 0.25 | 0.4412 | 0.7112 |
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+ | 0.6653 | 4.0 | 228 | 0.8069 | 0.5725 | 0.1406 | 0.9 | 0.2432 | 0.4327 | 0.7006 |
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+ | 0.6653 | 5.0 | 285 | 0.7910 | 0.5954 | 0.1475 | 0.9 | 0.2535 | 0.4455 | 0.7164 |
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+ | 0.6437 | 6.0 | 342 | 0.7414 | 0.6412 | 0.1636 | 0.9 | 0.2769 | 0.4737 | 0.7469 |
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+ | 0.6437 | 7.0 | 399 | 0.8038 | 0.5954 | 0.1475 | 0.9 | 0.2535 | 0.4455 | 0.7164 |
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+ | 0.6328 | 8.0 | 456 | 0.6908 | 0.6794 | 0.18 | 0.9 | 0.3 | 0.5000 | 0.7714 |
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+ | 0.5966 | 9.0 | 513 | 0.7782 | 0.6183 | 0.1552 | 0.9 | 0.2647 | 0.4592 | 0.7318 |
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+ | 0.5966 | 10.0 | 570 | 0.7343 | 0.6565 | 0.1698 | 0.9 | 0.2857 | 0.4839 | 0.7568 |
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+ | 0.5819 | 11.0 | 627 | 0.7569 | 0.6260 | 0.1579 | 0.9 | 0.2687 | 0.4639 | 0.7369 |
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+ | 0.5819 | 12.0 | 684 | 0.7650 | 0.6183 | 0.1552 | 0.9 | 0.2647 | 0.4592 | 0.7318 |
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+ | 0.5643 | 13.0 | 741 | 0.7711 | 0.6260 | 0.1579 | 0.9 | 0.2687 | 0.4639 | 0.7369 |
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+ | 0.5643 | 14.0 | 798 | 0.7470 | 0.6336 | 0.1607 | 0.9 | 0.2727 | 0.4688 | 0.7419 |
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+ | 0.569 | 15.0 | 855 | 0.7503 | 0.6336 | 0.1607 | 0.9 | 0.2727 | 0.4688 | 0.7419 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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