Shenghao1993
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distilbert-base-uncased-distilled-clinc

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Shenghao1993 commited on Jul 8, 2022

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update model card README.md

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@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9487096774193549
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +29,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the clinc_oos dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2663
-- Accuracy: 0.9487
 ## Model description
@@ -61,16 +61,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 318  | 2.9958          | 0.7519   |
-| 3.4918        | 2.0   | 636  | 1.4964          | 0.8648   |
-| 3.4918        | 3.0   | 954  | 0.7579          | 0.9113   |
-| 1.2799        | 4.0   | 1272 | 0.4595          | 0.9345   |
-| 0.4406        | 5.0   | 1590 | 0.3498          | 0.9419   |
-| 0.4406        | 6.0   | 1908 | 0.3039          | 0.9439   |
-| 0.2073        | 7.0   | 2226 | 0.2809          | 0.9455   |
-| 0.1286        | 8.0   | 2544 | 0.2746          | 0.9455   |
-| 0.1286        | 9.0   | 2862 | 0.2702          | 0.9468   |
-| 0.1042        | 10.0  | 3180 | 0.2663          | 0.9487   |
 ### Framework versions

     metrics:
     - name: Accuracy
       type: accuracy
+      value: 0.9464516129032258
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the clinc_oos dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.2578
+- Accuracy: 0.9465
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 318  | 1.5141          | 0.7345   |
+| 1.8478        | 2.0   | 636  | 0.7612          | 0.8674   |
+| 1.8478        | 3.0   | 954  | 0.4478          | 0.9119   |
+| 0.6924        | 4.0   | 1272 | 0.3302          | 0.9348   |
+| 0.3336        | 5.0   | 1590 | 0.2920          | 0.9439   |
+| 0.3336        | 6.0   | 1908 | 0.2750          | 0.9439   |
+| 0.2454        | 7.0   | 2226 | 0.2653          | 0.9452   |
+| 0.2171        | 8.0   | 2544 | 0.2615          | 0.9461   |
+| 0.2171        | 9.0   | 2862 | 0.2596          | 0.9455   |
+| 0.2079        | 10.0  | 3180 | 0.2578          | 0.9465   |
 ### Framework versions