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Training in progress epoch 0

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  1. README.md +5 -16
  2. config.json +32 -62
  3. tf_model.h5 +2 -2
README.md CHANGED
@@ -14,10 +14,10 @@ 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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- - Train Loss: 1.2486
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- - Validation Loss: 1.5964
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- - Train Accuracy: 0.7027
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- - Epoch: 11
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  ## Model description
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@@ -43,18 +43,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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- | 3.5847 | 3.3465 | 0.0270 | 0 |
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- | 3.2273 | 3.0977 | 0.2432 | 1 |
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- | 2.9675 | 2.8927 | 0.5405 | 2 |
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- | 2.6961 | 2.6430 | 0.6486 | 3 |
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- | 2.4835 | 2.4709 | 0.6216 | 4 |
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- | 2.2176 | 2.2683 | 0.6486 | 5 |
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- | 2.0208 | 2.1374 | 0.6216 | 6 |
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- | 1.8074 | 1.9413 | 0.6486 | 7 |
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- | 1.6223 | 1.8444 | 0.6486 | 8 |
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- | 1.4909 | 1.7753 | 0.6757 | 9 |
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- | 1.3661 | 1.7225 | 0.6757 | 10 |
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- | 1.2486 | 1.5964 | 0.7027 | 11 |
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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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+ - Train Loss: 2.8885
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+ - Validation Loss: 2.6740
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+ - Train Accuracy: 0.1316
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+ - Epoch: 0
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  ## Model description
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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+ | 2.8885 | 2.6740 | 0.1316 | 0 |
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
config.json CHANGED
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  "2": "\u8eab\u4efd\u8bc1\u53f7",
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  "3": "\u624b\u673a\u53f7",
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  "4": "\u5730\u5740",
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
 
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  "2": "\u8eab\u4efd\u8bc1\u53f7",
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  "3": "\u624b\u673a\u53f7",
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  "4": "\u5730\u5740",
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+ "5": "\u90ae\u7bb1",
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+ "6": "QQ",
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+ "19": "\u4f20\u771f",
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
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