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slac-new-appearance-upsample_replacement

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End of training

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  1. README.md +25 -25
  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,14 +17,14 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2258
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- - Accuracy: 0.8306
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- - F1 Macro: 0.4537
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- - Precision Macro: 0.4153
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- - Recall Macro: 0.5
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- - F1 Micro: 0.8306
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- - Precision Micro: 0.8306
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- - Recall Micro: 0.8306
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- - Total Tf: [1285, 262, 1285, 262]
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  ## Model description
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@@ -54,23 +54,23 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Precision Macro | Recall Macro | F1 Micro | Precision Micro | Recall Micro | Total Tf |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|:------------:|:--------:|:---------------:|:------------:|:----------------------:|
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- | 0.1063 | 1.0 | 314 | 0.1240 | 0.8306 | 0.4537 | 0.4153 | 0.5 | 0.8306 | 0.8306 | 0.8306 | [1285, 262, 1285, 262] |
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- | 0.0273 | 2.0 | 628 | 0.1173 | 0.8306 | 0.4537 | 0.4153 | 0.5 | 0.8306 | 0.8306 | 0.8306 | [1285, 262, 1285, 262] |
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- | 0.0209 | 3.0 | 942 | 0.1238 | 0.8306 | 0.4537 | 0.4153 | 0.5 | 0.8306 | 0.8306 | 0.8306 | [1285, 262, 1285, 262] |
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- | 0.0153 | 4.0 | 1256 | 0.1414 | 0.8306 | 0.4537 | 0.4153 | 0.5 | 0.8306 | 0.8306 | 0.8306 | [1285, 262, 1285, 262] |
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- | 0.0034 | 5.0 | 1570 | 0.1748 | 0.8306 | 0.4537 | 0.4153 | 0.5 | 0.8306 | 0.8306 | 0.8306 | [1285, 262, 1285, 262] |
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- | 0.0144 | 6.0 | 1884 | 0.1686 | 0.8306 | 0.4537 | 0.4153 | 0.5 | 0.8306 | 0.8306 | 0.8306 | [1285, 262, 1285, 262] |
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- | 0.0033 | 7.0 | 2198 | 0.2072 | 0.8306 | 0.4537 | 0.4153 | 0.5 | 0.8306 | 0.8306 | 0.8306 | [1285, 262, 1285, 262] |
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- | 0.0065 | 8.0 | 2512 | 0.1792 | 0.8306 | 0.4537 | 0.4153 | 0.5 | 0.8306 | 0.8306 | 0.8306 | [1285, 262, 1285, 262] |
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- | 0.0024 | 9.0 | 2826 | 0.1889 | 0.8306 | 0.4537 | 0.4153 | 0.5 | 0.8306 | 0.8306 | 0.8306 | [1285, 262, 1285, 262] |
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- | 0.0031 | 10.0 | 3140 | 0.2047 | 0.8306 | 0.4537 | 0.4153 | 0.5 | 0.8306 | 0.8306 | 0.8306 | [1285, 262, 1285, 262] |
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- | 0.0006 | 11.0 | 3454 | 0.2151 | 0.8306 | 0.4537 | 0.4153 | 0.5 | 0.8306 | 0.8306 | 0.8306 | [1285, 262, 1285, 262] |
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- | 0.0011 | 12.0 | 3768 | 0.2255 | 0.8306 | 0.4537 | 0.4153 | 0.5 | 0.8306 | 0.8306 | 0.8306 | [1285, 262, 1285, 262] |
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- | 0.0011 | 13.0 | 4082 | 0.2239 | 0.8306 | 0.4537 | 0.4153 | 0.5 | 0.8306 | 0.8306 | 0.8306 | [1285, 262, 1285, 262] |
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- | 0.0004 | 14.0 | 4396 | 0.2233 | 0.8306 | 0.4537 | 0.4153 | 0.5 | 0.8306 | 0.8306 | 0.8306 | [1285, 262, 1285, 262] |
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- | 0.0011 | 15.0 | 4710 | 0.2258 | 0.8306 | 0.4537 | 0.4153 | 0.5 | 0.8306 | 0.8306 | 0.8306 | [1285, 262, 1285, 262] |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2258
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+ - Accuracy: 0.9735
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+ - F1 Macro: 0.9525
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+ - Precision Macro: 0.9561
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+ - Recall Macro: 0.9491
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+ - F1 Micro: 0.9735
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+ - Precision Micro: 0.9735
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+ - Recall Micro: 0.9735
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+ - Total Tf: [1506, 41, 1506, 41]
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Precision Macro | Recall Macro | F1 Micro | Precision Micro | Recall Micro | Total Tf |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|:------------:|:--------:|:---------------:|:------------:|:--------------------:|
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+ | 0.1063 | 1.0 | 314 | 0.1240 | 0.9619 | 0.9354 | 0.9168 | 0.9573 | 0.9619 | 0.9619 | 0.9619 | [1488, 59, 1488, 59] |
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+ | 0.0273 | 2.0 | 628 | 0.1173 | 0.9741 | 0.9545 | 0.9504 | 0.9586 | 0.9741 | 0.9741 | 0.9741 | [1507, 40, 1507, 40] |
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+ | 0.0209 | 3.0 | 942 | 0.1238 | 0.9735 | 0.9528 | 0.9535 | 0.9521 | 0.9735 | 0.9735 | 0.9735 | [1506, 41, 1506, 41] |
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+ | 0.0153 | 4.0 | 1256 | 0.1414 | 0.9716 | 0.9493 | 0.9507 | 0.9479 | 0.9716 | 0.9716 | 0.9716 | [1503, 44, 1503, 44] |
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+ | 0.0034 | 5.0 | 1570 | 0.1748 | 0.9741 | 0.9533 | 0.9606 | 0.9465 | 0.9741 | 0.9741 | 0.9741 | [1507, 40, 1507, 40] |
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+ | 0.0144 | 6.0 | 1884 | 0.1686 | 0.9709 | 0.9482 | 0.9489 | 0.9475 | 0.9709 | 0.9709 | 0.9709 | [1502, 45, 1502, 45] |
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+ | 0.0033 | 7.0 | 2198 | 0.2072 | 0.9677 | 0.9420 | 0.9462 | 0.9380 | 0.9677 | 0.9677 | 0.9677 | [1497, 50, 1497, 50] |
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+ | 0.0065 | 8.0 | 2512 | 0.1792 | 0.9741 | 0.9535 | 0.9592 | 0.9480 | 0.9741 | 0.9741 | 0.9741 | [1507, 40, 1507, 40] |
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+ | 0.0024 | 9.0 | 2826 | 0.1889 | 0.9741 | 0.9540 | 0.9540 | 0.9540 | 0.9741 | 0.9741 | 0.9741 | [1507, 40, 1507, 40] |
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+ | 0.0031 | 10.0 | 3140 | 0.2047 | 0.9729 | 0.9522 | 0.9482 | 0.9563 | 0.9729 | 0.9729 | 0.9729 | [1505, 42, 1505, 42] |
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+ | 0.0006 | 11.0 | 3454 | 0.2151 | 0.9735 | 0.9521 | 0.9601 | 0.9445 | 0.9735 | 0.9735 | 0.9735 | [1506, 41, 1506, 41] |
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+ | 0.0011 | 12.0 | 3768 | 0.2255 | 0.9722 | 0.9504 | 0.9525 | 0.9483 | 0.9722 | 0.9722 | 0.9722 | [1504, 43, 1504, 43] |
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+ | 0.0011 | 13.0 | 4082 | 0.2239 | 0.9722 | 0.9505 | 0.9512 | 0.9498 | 0.9722 | 0.9722 | 0.9722 | [1504, 43, 1504, 43] |
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+ | 0.0004 | 14.0 | 4396 | 0.2233 | 0.9735 | 0.9525 | 0.9561 | 0.9491 | 0.9735 | 0.9735 | 0.9735 | [1506, 41, 1506, 41] |
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+ | 0.0011 | 15.0 | 4710 | 0.2258 | 0.9735 | 0.9525 | 0.9561 | 0.9491 | 0.9735 | 0.9735 | 0.9735 | [1506, 41, 1506, 41] |
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  ### Framework versions
model.safetensors CHANGED
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