aaanhnht
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ecomm_model

Text Classification

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aaanhnht commited on May 13

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@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1315
-- Accuracy: 0.9706
 ## Model description
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1571        | 1.0   | 1891 | 0.1445          | 0.9668   |
-| 0.082         | 2.0   | 3782 | 0.1315          | 0.9706   |
 ### Framework versions

 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.1193
+- Accuracy: 0.9734
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1577        | 1.0   | 1891 | 0.1334          | 0.9689   |
+| 0.0937        | 2.0   | 3782 | 0.1193          | 0.9734   |
 ### Framework versions