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RonTon05
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PhishLang_PhoBERTCNN_10k

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roberta
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End of training

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  1. README.md +17 -17
  2. model.safetensors +1 -1
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4395
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- - Accuracy: 0.8935
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- - F1: 0.8931
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- - Precision: 0.8931
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- - Recall: 0.8931
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  ## Model description
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@@ -60,18 +60,18 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 0.2029 | 0.8 | 100 | 0.4080 | 0.8945 | 0.8940 | 0.8945 | 0.8935 |
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- | 0.2029 | 1.6 | 200 | 0.4081 | 0.897 | 0.8965 | 0.8968 | 0.8963 |
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- | 0.2581 | 2.4 | 300 | 0.4035 | 0.8945 | 0.8941 | 0.8940 | 0.8942 |
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- | 0.2581 | 3.2 | 400 | 0.4061 | 0.8945 | 0.8941 | 0.8940 | 0.8943 |
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- | 0.2602 | 4.0 | 500 | 0.4097 | 0.8985 | 0.8980 | 0.8985 | 0.8976 |
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- | 0.2602 | 4.8 | 600 | 0.4245 | 0.891 | 0.8905 | 0.8908 | 0.8902 |
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- | 0.2602 | 5.6 | 700 | 0.4168 | 0.8945 | 0.8940 | 0.8944 | 0.8936 |
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- | 0.2427 | 6.4 | 800 | 0.4328 | 0.8895 | 0.8891 | 0.8889 | 0.8893 |
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- | 0.2427 | 7.2 | 900 | 0.4337 | 0.8905 | 0.8900 | 0.8902 | 0.8898 |
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- | 0.2316 | 8.0 | 1000 | 0.4351 | 0.892 | 0.8915 | 0.8917 | 0.8913 |
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- | 0.2316 | 8.8 | 1100 | 0.4397 | 0.8905 | 0.8901 | 0.8900 | 0.8903 |
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- | 0.2316 | 9.6 | 1200 | 0.4395 | 0.8935 | 0.8931 | 0.8931 | 0.8931 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3681
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+ - Accuracy: 0.9075
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+ - F1: 0.9064
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+ - Precision: 0.9103
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+ - Recall: 0.9044
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.6931 | 0.8 | 100 | 0.4079 | 0.8915 | 0.8893 | 0.9001 | 0.8859 |
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+ | 0.6931 | 1.6 | 200 | 0.3679 | 0.9055 | 0.9041 | 0.9102 | 0.9015 |
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+ | 0.4782 | 2.4 | 300 | 0.3651 | 0.9015 | 0.9004 | 0.9032 | 0.8989 |
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+ | 0.4782 | 3.2 | 400 | 0.3533 | 0.908 | 0.9070 | 0.9101 | 0.9052 |
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+ | 0.3495 | 4.0 | 500 | 0.3650 | 0.9085 | 0.9068 | 0.9160 | 0.9036 |
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+ | 0.3495 | 4.8 | 600 | 0.3562 | 0.9115 | 0.9102 | 0.9164 | 0.9075 |
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+ | 0.3495 | 5.6 | 700 | 0.3595 | 0.905 | 0.9042 | 0.9052 | 0.9035 |
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+ | 0.3147 | 6.4 | 800 | 0.3666 | 0.902 | 0.9013 | 0.9018 | 0.9009 |
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+ | 0.3147 | 7.2 | 900 | 0.3666 | 0.911 | 0.9097 | 0.9154 | 0.9072 |
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+ | 0.2962 | 8.0 | 1000 | 0.3618 | 0.908 | 0.9070 | 0.9097 | 0.9055 |
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+ | 0.2962 | 8.8 | 1100 | 0.3680 | 0.9095 | 0.9083 | 0.9127 | 0.9062 |
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+ | 0.2962 | 9.6 | 1200 | 0.3681 | 0.9075 | 0.9064 | 0.9103 | 0.9044 |
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  ### Framework versions
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