leetdavid
/

market_positivity

Text Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Community

leetdavid commited on Mar 1, 2022

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README.md +7 -8
tf_model.h5 +1 -1

README.md CHANGED Viewed

@@ -14,11 +14,11 @@ 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: 1.1121
-- Train Sparse Categorical Accuracy: 0.3337
-- Validation Loss: 1.0984
-- Validation Sparse Categorical Accuracy: 0.3417
-- Epoch: 2
 ## Model description
@@ -44,9 +44,8 @@ The following hyperparameters were used during training:
 | Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
 |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
-| 1.0908     | 0.3750                            | 1.1132          | 0.3357                                 | 0     |
-| 1.1104     | 0.3384                            | 1.1178          | 0.3226                                 | 1     |
-| 1.1121     | 0.3337                            | 1.0984          | 0.3417                                 | 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: 0.4959
+- Train Sparse Categorical Accuracy: 0.8060
+- Validation Loss: 0.4484
+- Validation Sparse Categorical Accuracy: 0.8187
+- Epoch: 1
 ## Model description
 | Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
 |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
+| 0.6595     | 0.7184                            | 0.5732          | 0.7479                                 | 0     |
+| 0.4959     | 0.8060                            | 0.4484          | 0.8187                                 | 1     |
 ### Framework versions

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