leetdavid
/

importance_model

Text Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Community

leetdavid commited on Feb 4, 2022

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README.md +7 -7
tf_model.h5 +1 -1

README.md CHANGED Viewed

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext](https://huggingface.co/hfl/chinese-roberta-wwm-ext) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.7395
-- Train Sparse Categorical Accuracy: 0.7487
-- Validation Loss: 1.0629
-- Validation Sparse Categorical Accuracy: 0.5980
 - Epoch: 2
 ## Model description
@@ -44,9 +44,9 @@ The following hyperparameters were used during training:
 | Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
 |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
-| 1.1328     | 0.5720                            | 1.0387          | 0.6533                                 | 0     |
-| 0.8780     | 0.7020                            | 1.0144          | 0.6482                                 | 1     |
-| 0.7395     | 0.7487                            | 1.0629          | 0.5980                                 | 2     |
 ### Framework versions

 This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext](https://huggingface.co/hfl/chinese-roberta-wwm-ext) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Train Loss: 0.5902
+- Train Sparse Categorical Accuracy: 0.7910
+- Validation Loss: 0.8534
+- Validation Sparse Categorical Accuracy: 0.7372
 - Epoch: 2
 ## Model description
 | Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
 |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
+| 0.9209     | 0.6502                            | 0.8464          | 0.7055                                 | 0     |
+| 0.7112     | 0.7633                            | 0.8572          | 0.7332                                 | 1     |
+| 0.5902     | 0.7910                            | 0.8534          | 0.7372                                 | 2     |
 ### Framework versions

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