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distilbert-base-uncased-finetuned-yahd

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update model card README.md

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@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.8670
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- - Accuracy: 0.1863
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  ## Model description
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@@ -42,19 +42,28 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 7
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 2.6746 | 1.0 | 919 | 2.5961 | 0.1324 |
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- | 2.3991 | 2.0 | 1838 | 2.5052 | 0.1448 |
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- | 2.036 | 3.0 | 2757 | 2.5028 | 0.1554 |
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- | 1.6838 | 4.0 | 3676 | 2.6002 | 0.1614 |
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- | 1.3583 | 5.0 | 4595 | 2.7135 | 0.1783 |
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- | 1.17 | 6.0 | 5514 | 2.8161 | 0.1787 |
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- | 1.0365 | 7.0 | 6433 | 2.8670 | 0.1863 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 5.7685
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+ - Accuracy: 0.4010
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 16
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:------:|:---------------:|:--------:|
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+ | 2.2439 | 1.0 | 9142 | 2.1898 | 0.2130 |
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+ | 1.9235 | 2.0 | 18284 | 2.1045 | 0.2372 |
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+ | 1.5915 | 3.0 | 27426 | 2.1380 | 0.2550 |
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+ | 1.3262 | 4.0 | 36568 | 2.2544 | 0.2758 |
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+ | 1.0529 | 5.0 | 45710 | 2.5662 | 0.2955 |
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+ | 0.8495 | 6.0 | 54852 | 2.8731 | 0.3078 |
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+ | 0.6779 | 7.0 | 63994 | 3.1980 | 0.3218 |
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+ | 0.5546 | 8.0 | 73136 | 3.6289 | 0.3380 |
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+ | 0.4738 | 9.0 | 82278 | 3.9732 | 0.3448 |
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+ | 0.412 | 10.0 | 91420 | 4.2945 | 0.3565 |
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+ | 0.3961 | 11.0 | 100562 | 4.6127 | 0.3772 |
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+ | 0.3292 | 12.0 | 109704 | 4.9586 | 0.3805 |
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+ | 0.318 | 13.0 | 118846 | 5.2615 | 0.3887 |
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+ | 0.2936 | 14.0 | 127988 | 5.4567 | 0.3931 |
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+ | 0.2671 | 15.0 | 137130 | 5.6902 | 0.3965 |
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+ | 0.2301 | 16.0 | 146272 | 5.7685 | 0.4010 |
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  ### Framework versions