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liwii
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fc-binary-model

Transformers
PyTorch
distilbert
Generated from Trainer
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fc-binary-model

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  1. README.md +30 -30
README.md CHANGED
@@ -17,7 +17,7 @@ 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: 0.3003
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  - Accuracy: 0.8730
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  ## Model description
@@ -51,35 +51,35 @@ 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 | 0.3749 | 0.8594 |
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- | 0.4137 | 2.0 | 612 | 0.3596 | 0.8594 |
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- | 0.4137 | 3.0 | 918 | 0.3459 | 0.8594 |
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- | 0.383 | 4.0 | 1224 | 0.3423 | 0.8613 |
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- | 0.3709 | 5.0 | 1530 | 0.3348 | 0.8613 |
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- | 0.3709 | 6.0 | 1836 | 0.3292 | 0.8672 |
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- | 0.364 | 7.0 | 2142 | 0.3275 | 0.8633 |
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- | 0.364 | 8.0 | 2448 | 0.3235 | 0.8652 |
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- | 0.3587 | 9.0 | 2754 | 0.3227 | 0.8633 |
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- | 0.3509 | 10.0 | 3060 | 0.3182 | 0.8652 |
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- | 0.3509 | 11.0 | 3366 | 0.3154 | 0.8730 |
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- | 0.3531 | 12.0 | 3672 | 0.3132 | 0.8691 |
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- | 0.3531 | 13.0 | 3978 | 0.3108 | 0.8691 |
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- | 0.3478 | 14.0 | 4284 | 0.3112 | 0.875 |
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- | 0.344 | 15.0 | 4590 | 0.3086 | 0.8711 |
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- | 0.344 | 16.0 | 4896 | 0.3070 | 0.8730 |
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- | 0.3386 | 17.0 | 5202 | 0.3047 | 0.875 |
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- | 0.34 | 18.0 | 5508 | 0.3058 | 0.875 |
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- | 0.34 | 19.0 | 5814 | 0.3054 | 0.875 |
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- | 0.3356 | 20.0 | 6120 | 0.3043 | 0.8730 |
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- | 0.3356 | 21.0 | 6426 | 0.3037 | 0.8770 |
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- | 0.3331 | 22.0 | 6732 | 0.3034 | 0.875 |
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- | 0.3356 | 23.0 | 7038 | 0.3022 | 0.875 |
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- | 0.3356 | 24.0 | 7344 | 0.3019 | 0.8730 |
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- | 0.3317 | 25.0 | 7650 | 0.3022 | 0.8711 |
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- | 0.3317 | 26.0 | 7956 | 0.3017 | 0.8711 |
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- | 0.3275 | 27.0 | 8262 | 0.3011 | 0.8770 |
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- | 0.328 | 28.0 | 8568 | 0.3005 | 0.8730 |
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- | 0.328 | 29.0 | 8874 | 0.3004 | 0.8730 |
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- | 0.3315 | 30.0 | 9180 | 0.3003 | 0.8730 |
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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: 0.3017
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  - Accuracy: 0.8730
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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 | 0.3749 | 0.8594 |
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+ | 0.4009 | 2.0 | 612 | 0.3578 | 0.8594 |
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+ | 0.4009 | 3.0 | 918 | 0.3448 | 0.8613 |
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+ | 0.3811 | 4.0 | 1224 | 0.3416 | 0.8613 |
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+ | 0.3694 | 5.0 | 1530 | 0.3344 | 0.8613 |
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+ | 0.3694 | 6.0 | 1836 | 0.3284 | 0.8652 |
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+ | 0.3623 | 7.0 | 2142 | 0.3274 | 0.8633 |
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+ | 0.3623 | 8.0 | 2448 | 0.3236 | 0.8652 |
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+ | 0.3566 | 9.0 | 2754 | 0.3216 | 0.8633 |
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+ | 0.349 | 10.0 | 3060 | 0.3174 | 0.8691 |
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+ | 0.349 | 11.0 | 3366 | 0.3145 | 0.875 |
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+ | 0.3512 | 12.0 | 3672 | 0.3135 | 0.8711 |
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+ | 0.3512 | 13.0 | 3978 | 0.3102 | 0.8711 |
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+ | 0.3455 | 14.0 | 4284 | 0.3119 | 0.8770 |
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+ | 0.3427 | 15.0 | 4590 | 0.3100 | 0.875 |
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+ | 0.3427 | 16.0 | 4896 | 0.3074 | 0.8711 |
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+ | 0.3366 | 17.0 | 5202 | 0.3055 | 0.875 |
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+ | 0.3385 | 18.0 | 5508 | 0.3068 | 0.875 |
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+ | 0.3385 | 19.0 | 5814 | 0.3065 | 0.875 |
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+ | 0.3342 | 20.0 | 6120 | 0.3047 | 0.875 |
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+ | 0.3342 | 21.0 | 6426 | 0.3046 | 0.8770 |
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+ | 0.3313 | 22.0 | 6732 | 0.3049 | 0.875 |
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+ | 0.3349 | 23.0 | 7038 | 0.3035 | 0.875 |
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+ | 0.3349 | 24.0 | 7344 | 0.3029 | 0.8730 |
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+ | 0.3309 | 25.0 | 7650 | 0.3031 | 0.8730 |
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+ | 0.3309 | 26.0 | 7956 | 0.3026 | 0.8711 |
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+ | 0.326 | 27.0 | 8262 | 0.3026 | 0.875 |
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+ | 0.3271 | 28.0 | 8568 | 0.3019 | 0.8730 |
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+ | 0.3271 | 29.0 | 8874 | 0.3018 | 0.8730 |
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+ | 0.3308 | 30.0 | 9180 | 0.3017 | 0.8730 |
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  ### Framework versions