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roberta-base-finetuned-intent

Text Classification

generated_from_trainer

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zhiyil commited on Dec 16, 2022

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update model card README.md

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@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the snips_built_in_intents dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2158
-- Accuracy: 1.0
 ## Model description
@@ -55,16 +55,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.7528        | 1.0   | 37   | 1.5430          | 0.4      |
-| 0.4361        | 2.0   | 74   | 0.6562          | 0.8667   |
-| 0.2656        | 3.0   | 111  | 0.2158          | 1.0      |
-| 0.1121        | 4.0   | 148  | 0.1056          | 1.0      |
-| 0.1295        | 5.0   | 185  | 0.0753          | 1.0      |
-| 0.0897        | 6.0   | 222  | 0.0554          | 1.0      |
-| 0.0704        | 7.0   | 259  | 0.0467          | 1.0      |
-| 0.0638        | 8.0   | 296  | 0.0420          | 1.0      |
-| 0.047         | 9.0   | 333  | 0.0393          | 1.0      |
-| 0.0632        | 10.0  | 370  | 0.0387          | 1.0      |
 ### Framework versions

 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the snips_built_in_intents dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.2720
+- Accuracy: 0.9333
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.9568        | 1.0   | 37   | 1.7598          | 0.4333   |
+| 1.2238        | 2.0   | 74   | 0.8130          | 0.7667   |
+| 0.4536        | 3.0   | 111  | 0.4985          | 0.8      |
+| 0.2478        | 4.0   | 148  | 0.3535          | 0.8667   |
+| 0.0903        | 5.0   | 185  | 0.3110          | 0.8667   |
+| 0.0849        | 6.0   | 222  | 0.2720          | 0.9333   |
+| 0.0708        | 7.0   | 259  | 0.2742          | 0.8667   |
+| 0.0796        | 8.0   | 296  | 0.2839          | 0.8667   |
+| 0.0638        | 9.0   | 333  | 0.2949          | 0.8667   |
+| 0.0566        | 10.0  | 370  | 0.2925          | 0.8667   |
 ### Framework versions