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fc-binary-prompt-model

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  1. README.md +32 -32
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [line-corporation/line-distilbert-base-japanese](https://huggingface.co/line-corporation/line-distilbert-base-japanese) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3462
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- - Accuracy: 0.8652
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  ## Model description
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@@ -50,36 +50,36 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 306 | 0.3968 | 0.8594 |
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- | 0.425 | 2.0 | 612 | 0.3885 | 0.8594 |
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- | 0.425 | 3.0 | 918 | 0.3809 | 0.8594 |
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- | 0.4028 | 4.0 | 1224 | 0.3771 | 0.8594 |
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- | 0.3962 | 5.0 | 1530 | 0.3717 | 0.8594 |
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- | 0.3962 | 6.0 | 1836 | 0.3704 | 0.8594 |
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- | 0.3919 | 7.0 | 2142 | 0.3708 | 0.8594 |
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- | 0.3919 | 8.0 | 2448 | 0.3648 | 0.8594 |
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- | 0.3897 | 9.0 | 2754 | 0.3759 | 0.8613 |
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- | 0.3836 | 10.0 | 3060 | 0.3570 | 0.8594 |
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- | 0.3836 | 11.0 | 3366 | 0.3643 | 0.8613 |
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- | 0.3864 | 12.0 | 3672 | 0.3559 | 0.8613 |
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- | 0.3864 | 13.0 | 3978 | 0.3557 | 0.8613 |
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- | 0.3823 | 14.0 | 4284 | 0.3516 | 0.8613 |
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- | 0.3808 | 15.0 | 4590 | 0.3580 | 0.8613 |
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- | 0.3808 | 16.0 | 4896 | 0.3529 | 0.8613 |
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- | 0.3759 | 17.0 | 5202 | 0.3498 | 0.8613 |
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- | 0.3793 | 18.0 | 5508 | 0.3485 | 0.8613 |
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- | 0.3793 | 19.0 | 5814 | 0.3495 | 0.8613 |
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- | 0.3757 | 20.0 | 6120 | 0.3442 | 0.8613 |
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- | 0.3757 | 21.0 | 6426 | 0.3481 | 0.8613 |
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- | 0.3741 | 22.0 | 6732 | 0.3475 | 0.8633 |
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- | 0.3775 | 23.0 | 7038 | 0.3478 | 0.8633 |
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- | 0.3775 | 24.0 | 7344 | 0.3486 | 0.8633 |
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- | 0.375 | 25.0 | 7650 | 0.3489 | 0.8652 |
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- | 0.375 | 26.0 | 7956 | 0.3485 | 0.8652 |
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- | 0.37 | 27.0 | 8262 | 0.3446 | 0.8613 |
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- | 0.3712 | 28.0 | 8568 | 0.3463 | 0.8652 |
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- | 0.3712 | 29.0 | 8874 | 0.3466 | 0.8652 |
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- | 0.3748 | 30.0 | 9180 | 0.3462 | 0.8652 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [line-corporation/line-distilbert-base-japanese](https://huggingface.co/line-corporation/line-distilbert-base-japanese) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3427
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+ - Accuracy: 0.8672
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 306 | 0.3954 | 0.8594 |
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+ | 0.4092 | 2.0 | 612 | 0.3867 | 0.8594 |
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+ | 0.4092 | 3.0 | 918 | 0.3787 | 0.8594 |
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+ | 0.4011 | 4.0 | 1224 | 0.3747 | 0.8594 |
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+ | 0.3937 | 5.0 | 1530 | 0.3699 | 0.8594 |
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+ | 0.3937 | 6.0 | 1836 | 0.3664 | 0.8594 |
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+ | 0.3896 | 7.0 | 2142 | 0.3700 | 0.8594 |
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+ | 0.3896 | 8.0 | 2448 | 0.3626 | 0.8594 |
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+ | 0.3868 | 9.0 | 2754 | 0.3671 | 0.8613 |
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+ | 0.3813 | 10.0 | 3060 | 0.3537 | 0.8594 |
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+ | 0.3813 | 11.0 | 3366 | 0.3633 | 0.8613 |
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+ | 0.3844 | 12.0 | 3672 | 0.3523 | 0.8613 |
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+ | 0.3844 | 13.0 | 3978 | 0.3523 | 0.8613 |
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+ | 0.3799 | 14.0 | 4284 | 0.3499 | 0.8613 |
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+ | 0.3791 | 15.0 | 4590 | 0.3530 | 0.8633 |
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+ | 0.3791 | 16.0 | 4896 | 0.3499 | 0.8633 |
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+ | 0.3735 | 17.0 | 5202 | 0.3465 | 0.8613 |
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+ | 0.3767 | 18.0 | 5508 | 0.3447 | 0.8613 |
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+ | 0.3767 | 19.0 | 5814 | 0.3457 | 0.8633 |
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+ | 0.3733 | 20.0 | 6120 | 0.3413 | 0.8613 |
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+ | 0.3733 | 21.0 | 6426 | 0.3448 | 0.8633 |
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+ | 0.3721 | 22.0 | 6732 | 0.3438 | 0.8652 |
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+ | 0.3753 | 23.0 | 7038 | 0.3440 | 0.8652 |
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+ | 0.3753 | 24.0 | 7344 | 0.3442 | 0.8672 |
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+ | 0.3726 | 25.0 | 7650 | 0.3459 | 0.8691 |
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+ | 0.3726 | 26.0 | 7956 | 0.3448 | 0.8672 |
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+ | 0.3675 | 27.0 | 8262 | 0.3416 | 0.8672 |
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+ | 0.3686 | 28.0 | 8568 | 0.3425 | 0.8672 |
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+ | 0.3686 | 29.0 | 8874 | 0.3429 | 0.8672 |
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+ | 0.3726 | 30.0 | 9180 | 0.3427 | 0.8672 |
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  ### Framework versions
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