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MENG21
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results_bert-large-uncased

Text Classification
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Safetensors
bert
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End of training

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  1. README.md +15 -15
  2. model.safetensors +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1901
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- - Accuracy: 0.9225
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- - Precision: 0.9173
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- - Recall: 0.9584
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- - F1: 0.9374
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  ## Model description
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@@ -56,16 +56,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 0.5079 | 0.09 | 50 | 0.3973 | 0.8712 | 0.8304 | 0.9894 | 0.9030 |
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- | 0.3187 | 0.19 | 100 | 0.2505 | 0.9014 | 0.8936 | 0.9502 | 0.9211 |
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- | 0.2907 | 0.28 | 150 | 0.3105 | 0.8875 | 0.8547 | 0.9810 | 0.9135 |
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- | 0.2443 | 0.38 | 200 | 0.2255 | 0.8968 | 0.9249 | 0.9029 | 0.9138 |
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- | 0.2412 | 0.47 | 250 | 0.2324 | 0.8963 | 0.8918 | 0.9432 | 0.9168 |
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- | 0.2238 | 0.56 | 300 | 0.2242 | 0.9070 | 0.8940 | 0.9602 | 0.9259 |
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- | 0.2336 | 0.66 | 350 | 0.2014 | 0.9183 | 0.9266 | 0.9396 | 0.9330 |
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- | 0.2264 | 0.75 | 400 | 0.1961 | 0.9196 | 0.9153 | 0.9557 | 0.9350 |
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- | 0.1893 | 0.84 | 450 | 0.1958 | 0.9215 | 0.9177 | 0.9561 | 0.9365 |
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- | 0.1796 | 0.94 | 500 | 0.1901 | 0.9225 | 0.9173 | 0.9584 | 0.9374 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2128
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+ - Accuracy: 0.9141
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+ - Precision: 0.9182
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+ - Recall: 0.9421
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+ - F1: 0.9300
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 0.6415 | 0.09 | 50 | 0.5315 | 0.7175 | 0.6981 | 0.9394 | 0.8010 |
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+ | 0.4007 | 0.18 | 100 | 0.7702 | 0.7243 | 0.9892 | 0.5505 | 0.7074 |
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+ | 0.5158 | 0.28 | 150 | 0.4075 | 0.8591 | 0.8904 | 0.8748 | 0.8825 |
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+ | 0.3934 | 0.37 | 200 | 0.2809 | 0.8763 | 0.9354 | 0.8546 | 0.8932 |
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+ | 0.2691 | 0.46 | 250 | 0.3406 | 0.8832 | 0.8837 | 0.9294 | 0.9060 |
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+ | 0.2814 | 0.55 | 300 | 0.2582 | 0.8768 | 0.8512 | 0.9651 | 0.9046 |
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+ | 0.2735 | 0.64 | 350 | 0.2715 | 0.8953 | 0.8708 | 0.9711 | 0.9182 |
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+ | 0.2411 | 0.74 | 400 | 0.2389 | 0.9103 | 0.9242 | 0.9279 | 0.9260 |
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+ | 0.2371 | 0.83 | 450 | 0.2081 | 0.9104 | 0.9212 | 0.9316 | 0.9264 |
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+ | 0.1974 | 0.92 | 500 | 0.2128 | 0.9141 | 0.9182 | 0.9421 | 0.9300 |
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  ### Framework versions
model.safetensors CHANGED
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