leetdavid
/

market_positivity

Text Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Community

leetdavid commited on Feb 28, 2022

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1 Parent(s): 3b0b5a3

add model

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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: 0.4916
-- Train Sparse Categorical Accuracy: 0.7919
-- Validation Loss: 0.6208
-- Validation Sparse Categorical Accuracy: 0.7383
 - 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 |
 |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
-| 0.6840     | 0.6992                            | 0.6167          | 0.7260                                 | 0     |
-| 0.5666     | 0.7540                            | 0.5993          | 0.7345                                 | 1     |
-| 0.4916     | 0.7919                            | 0.6208          | 0.7383                                 | 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: 1.1121
+- Train Sparse Categorical Accuracy: 0.3337
+- Validation Loss: 1.0984
+- Validation Sparse Categorical Accuracy: 0.3417
 - Epoch: 2
 ## Model description
 | 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

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