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distilbert-base-uncased_fold_7_binary_v1

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distilbert
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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: 1.7559
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- - F1: 0.8004
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  ## Model description
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@@ -48,31 +48,31 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 288 | 0.4132 | 0.7956 |
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- | 0.405 | 2.0 | 576 | 0.4076 | 0.8100 |
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- | 0.405 | 3.0 | 864 | 0.5147 | 0.8160 |
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- | 0.1887 | 4.0 | 1152 | 0.8412 | 0.7926 |
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- | 0.1887 | 5.0 | 1440 | 0.9743 | 0.7910 |
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- | 0.0886 | 6.0 | 1728 | 0.9539 | 0.8010 |
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- | 0.0389 | 7.0 | 2016 | 1.0582 | 0.8042 |
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- | 0.0389 | 8.0 | 2304 | 1.2592 | 0.7911 |
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- | 0.0224 | 9.0 | 2592 | 1.3355 | 0.7987 |
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- | 0.0224 | 10.0 | 2880 | 1.3268 | 0.8051 |
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- | 0.014 | 11.0 | 3168 | 1.5071 | 0.7970 |
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- | 0.014 | 12.0 | 3456 | 1.5979 | 0.7935 |
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- | 0.0057 | 13.0 | 3744 | 1.4898 | 0.8052 |
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- | 0.0136 | 14.0 | 4032 | 1.4505 | 0.8133 |
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- | 0.0136 | 15.0 | 4320 | 1.6039 | 0.7930 |
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- | 0.0043 | 16.0 | 4608 | 1.5160 | 0.8075 |
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- | 0.0043 | 17.0 | 4896 | 1.5439 | 0.8074 |
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- | 0.0036 | 18.0 | 5184 | 1.5788 | 0.8131 |
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- | 0.0036 | 19.0 | 5472 | 1.6153 | 0.8085 |
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- | 0.0007 | 20.0 | 5760 | 1.6258 | 0.8113 |
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- | 0.0021 | 21.0 | 6048 | 1.7087 | 0.8023 |
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- | 0.0021 | 22.0 | 6336 | 1.7146 | 0.8032 |
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- | 0.0016 | 23.0 | 6624 | 1.7504 | 0.8018 |
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- | 0.0016 | 24.0 | 6912 | 1.7685 | 0.8023 |
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- | 0.0001 | 25.0 | 7200 | 1.7559 | 0.8004 |
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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: 1.8361
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+ - F1: 0.7958
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 288 | 0.4025 | 0.8071 |
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+ | 0.3986 | 2.0 | 576 | 0.3979 | 0.8072 |
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+ | 0.3986 | 3.0 | 864 | 0.5170 | 0.8041 |
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+ | 0.1761 | 4.0 | 1152 | 0.7946 | 0.7940 |
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+ | 0.1761 | 5.0 | 1440 | 1.0000 | 0.7937 |
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+ | 0.0705 | 6.0 | 1728 | 1.1484 | 0.7875 |
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+ | 0.0294 | 7.0 | 2016 | 1.1548 | 0.8042 |
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+ | 0.0294 | 8.0 | 2304 | 1.3036 | 0.8069 |
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+ | 0.0171 | 9.0 | 2592 | 1.4043 | 0.7943 |
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+ | 0.0171 | 10.0 | 2880 | 1.3356 | 0.8002 |
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+ | 0.0154 | 11.0 | 3168 | 1.4528 | 0.7996 |
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+ | 0.0154 | 12.0 | 3456 | 1.5514 | 0.7991 |
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+ | 0.005 | 13.0 | 3744 | 1.6341 | 0.8046 |
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+ | 0.0038 | 14.0 | 4032 | 1.6240 | 0.7984 |
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+ | 0.0038 | 15.0 | 4320 | 1.7476 | 0.8014 |
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+ | 0.0037 | 16.0 | 4608 | 1.6666 | 0.7982 |
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+ | 0.0037 | 17.0 | 4896 | 1.7495 | 0.7950 |
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+ | 0.0083 | 18.0 | 5184 | 1.6993 | 0.7932 |
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+ | 0.0083 | 19.0 | 5472 | 1.6573 | 0.8077 |
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+ | 0.002 | 20.0 | 5760 | 1.7430 | 0.7980 |
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+ | 0.0012 | 21.0 | 6048 | 1.8135 | 0.7955 |
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+ | 0.0012 | 22.0 | 6336 | 1.8316 | 0.7972 |
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+ | 0.0022 | 23.0 | 6624 | 1.8717 | 0.7926 |
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+ | 0.0022 | 24.0 | 6912 | 1.8183 | 0.7978 |
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+ | 0.0014 | 25.0 | 7200 | 1.8361 | 0.7958 |
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  ### Framework versions