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yimiwang
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bert-petco-fullemailbody-ctr

Text Classification
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Safetensors
bert
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  1. README.md +25 -25
  2. model.safetensors +1 -1
README.md CHANGED
@@ -15,11 +15,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0023
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- - Mse: 0.0023
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- - Rmse: 0.0477
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- - Mae: 0.0388
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- - R2: 0.4159
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  ## Model description
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@@ -50,26 +50,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Mse | Rmse | Mae | R2 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:-------:|
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- | 0.0251 | 1.0 | 15 | 0.0048 | 0.0048 | 0.0690 | 0.0521 | -0.2217 |
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- | 0.0167 | 2.0 | 30 | 0.0033 | 0.0033 | 0.0570 | 0.0436 | 0.1643 |
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- | 0.0122 | 3.0 | 45 | 0.0042 | 0.0042 | 0.0649 | 0.0546 | -0.0810 |
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- | 0.0126 | 4.0 | 60 | 0.0030 | 0.0030 | 0.0548 | 0.0426 | 0.2284 |
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- | 0.0089 | 5.0 | 75 | 0.0032 | 0.0032 | 0.0563 | 0.0432 | 0.1846 |
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- | 0.0092 | 6.0 | 90 | 0.0030 | 0.0030 | 0.0552 | 0.0419 | 0.2179 |
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- | 0.0074 | 7.0 | 105 | 0.0027 | 0.0027 | 0.0515 | 0.0399 | 0.3194 |
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- | 0.0054 | 8.0 | 120 | 0.0037 | 0.0037 | 0.0610 | 0.0520 | 0.0453 |
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- | 0.0055 | 9.0 | 135 | 0.0049 | 0.0049 | 0.0699 | 0.0604 | -0.2550 |
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- | 0.0049 | 10.0 | 150 | 0.0027 | 0.0027 | 0.0516 | 0.0422 | 0.3167 |
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- | 0.0046 | 11.0 | 165 | 0.0023 | 0.0023 | 0.0477 | 0.0388 | 0.4159 |
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- | 0.0048 | 12.0 | 180 | 0.0027 | 0.0027 | 0.0518 | 0.0432 | 0.3116 |
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- | 0.0042 | 13.0 | 195 | 0.0028 | 0.0028 | 0.0529 | 0.0443 | 0.2824 |
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- | 0.0037 | 14.0 | 210 | 0.0024 | 0.0024 | 0.0488 | 0.0404 | 0.3876 |
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- | 0.0041 | 15.0 | 225 | 0.0023 | 0.0023 | 0.0483 | 0.0395 | 0.4001 |
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- | 0.0039 | 16.0 | 240 | 0.0024 | 0.0024 | 0.0486 | 0.0395 | 0.3945 |
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- | 0.0038 | 17.0 | 255 | 0.0024 | 0.0024 | 0.0493 | 0.0405 | 0.3770 |
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- | 0.0039 | 18.0 | 270 | 0.0027 | 0.0027 | 0.0516 | 0.0424 | 0.3160 |
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- | 0.004 | 19.0 | 285 | 0.0024 | 0.0024 | 0.0488 | 0.0400 | 0.3887 |
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- | 0.0035 | 20.0 | 300 | 0.0025 | 0.0025 | 0.0496 | 0.0406 | 0.3678 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0024
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+ - Mse: 0.0024
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+ - Rmse: 0.0487
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+ - Mae: 0.0369
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+ - R2: 0.3917
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Mse | Rmse | Mae | R2 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:-------:|
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+ | 0.0259 | 1.0 | 15 | 0.0045 | 0.0045 | 0.0671 | 0.0558 | -0.1551 |
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+ | 0.0131 | 2.0 | 30 | 0.0042 | 0.0042 | 0.0645 | 0.0501 | -0.0669 |
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+ | 0.0114 | 3.0 | 45 | 0.0037 | 0.0037 | 0.0609 | 0.0514 | 0.0488 |
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+ | 0.0118 | 4.0 | 60 | 0.0033 | 0.0033 | 0.0576 | 0.0446 | 0.1471 |
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+ | 0.0097 | 5.0 | 75 | 0.0036 | 0.0036 | 0.0599 | 0.0460 | 0.0790 |
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+ | 0.0095 | 6.0 | 90 | 0.0037 | 0.0037 | 0.0606 | 0.0462 | 0.0568 |
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+ | 0.0086 | 7.0 | 105 | 0.0040 | 0.0040 | 0.0629 | 0.0485 | -0.0177 |
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+ | 0.0083 | 8.0 | 120 | 0.0026 | 0.0026 | 0.0513 | 0.0392 | 0.3232 |
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+ | 0.0077 | 9.0 | 135 | 0.0035 | 0.0035 | 0.0595 | 0.0445 | 0.0915 |
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+ | 0.0067 | 10.0 | 150 | 0.0037 | 0.0037 | 0.0606 | 0.0462 | 0.0561 |
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+ | 0.0066 | 11.0 | 165 | 0.0025 | 0.0025 | 0.0503 | 0.0394 | 0.3499 |
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+ | 0.0066 | 12.0 | 180 | 0.0034 | 0.0034 | 0.0580 | 0.0475 | 0.1355 |
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+ | 0.0046 | 13.0 | 195 | 0.0024 | 0.0024 | 0.0487 | 0.0369 | 0.3917 |
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+ | 0.0052 | 14.0 | 210 | 0.0035 | 0.0035 | 0.0587 | 0.0454 | 0.1137 |
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+ | 0.0049 | 15.0 | 225 | 0.0032 | 0.0032 | 0.0567 | 0.0438 | 0.1753 |
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+ | 0.0041 | 16.0 | 240 | 0.0034 | 0.0034 | 0.0581 | 0.0445 | 0.1321 |
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+ | 0.0039 | 17.0 | 255 | 0.0030 | 0.0030 | 0.0548 | 0.0412 | 0.2277 |
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+ | 0.0042 | 18.0 | 270 | 0.0036 | 0.0036 | 0.0603 | 0.0465 | 0.0676 |
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+ | 0.0035 | 19.0 | 285 | 0.0036 | 0.0036 | 0.0601 | 0.0461 | 0.0719 |
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+ | 0.0031 | 20.0 | 300 | 0.0033 | 0.0033 | 0.0574 | 0.0435 | 0.1548 |
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  ### Framework versions
model.safetensors CHANGED
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