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wsqstar
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weibo-model-4tags

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
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Initial model push

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  1. README.md +12 -12
  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-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0549
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- - Accuracy: 0.6924
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- - Precision: 0.6952
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- - Recall: 0.6924
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- - F1: 0.6926
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  ## Model description
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@@ -55,13 +55,13 @@ 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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- | 1.0076 | 0.6849 | 50 | 1.0225 | 0.5928 | 0.6391 | 0.5928 | 0.5727 |
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- | 0.7528 | 1.3699 | 100 | 0.9324 | 0.6340 | 0.6676 | 0.6340 | 0.6232 |
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- | 0.7574 | 2.0548 | 150 | 0.8556 | 0.6821 | 0.6932 | 0.6821 | 0.6817 |
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- | 0.516 | 2.7397 | 200 | 0.8944 | 0.6787 | 0.6902 | 0.6787 | 0.6779 |
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- | 0.2835 | 3.4247 | 250 | 1.0440 | 0.6787 | 0.6810 | 0.6787 | 0.6768 |
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- | 0.1771 | 4.1096 | 300 | 1.0174 | 0.6821 | 0.6822 | 0.6821 | 0.6797 |
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- | 0.157 | 4.7945 | 350 | 1.0549 | 0.6924 | 0.6952 | 0.6924 | 0.6926 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0245
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+ - Accuracy: 0.7079
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+ - Precision: 0.7101
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+ - Recall: 0.7079
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+ - F1: 0.7081
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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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+ | 1.1091 | 0.6849 | 50 | 1.0191 | 0.5361 | 0.6449 | 0.5361 | 0.4924 |
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+ | 0.7439 | 1.3699 | 100 | 0.8837 | 0.6306 | 0.6446 | 0.6306 | 0.6280 |
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+ | 0.7962 | 2.0548 | 150 | 0.8365 | 0.6615 | 0.6886 | 0.6615 | 0.6567 |
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+ | 0.5132 | 2.7397 | 200 | 0.8698 | 0.6890 | 0.6977 | 0.6890 | 0.6841 |
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+ | 0.2886 | 3.4247 | 250 | 0.9056 | 0.7096 | 0.7103 | 0.7096 | 0.7092 |
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+ | 0.1804 | 4.1096 | 300 | 0.9927 | 0.7045 | 0.7071 | 0.7045 | 0.7027 |
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+ | 0.146 | 4.7945 | 350 | 1.0245 | 0.7079 | 0.7101 | 0.7079 | 0.7081 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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