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bert-chinese-weibo-100p-v4

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
text-embeddings-inference
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xet
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End of training

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  1. README.md +6 -6
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-chinese](https://huggingface.co/google-bert/bert-base-chinese) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3482
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- - Accuracy: 0.9374
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 67 | 0.3979 | 0.9187 |
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- | 0.0166 | 2.0 | 134 | 0.3197 | 0.9374 |
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- | 0.0225 | 3.0 | 201 | 0.3417 | 0.9374 |
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- | 0.0225 | 4.0 | 268 | 0.3482 | 0.9374 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-chinese](https://huggingface.co/google-bert/bert-base-chinese) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2977
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+ - Accuracy: 0.9355
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 67 | 0.3275 | 0.9290 |
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+ | 0.0209 | 2.0 | 134 | 0.2972 | 0.9364 |
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+ | 0.0294 | 3.0 | 201 | 0.2945 | 0.9364 |
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+ | 0.0294 | 4.0 | 268 | 0.2977 | 0.9355 |
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  ### Framework versions
model.safetensors CHANGED
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