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sentiment-model-saagie

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TeamResearch commited on Apr 17

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update model card README.md

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@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5544
-- Accuracy: 0.7783
 ## Model description
@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5159        | 1.0   | 1500 | 0.4815          | 0.78     |
-| 0.3788        | 2.0   | 3000 | 0.5341          | 0.78     |
-| 0.337         | 3.0   | 4500 | 0.5544          | 0.7783   |
 ### Framework versions

 This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.5395
+- Accuracy: 0.785
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5167        | 1.0   | 1500 | 0.4749          | 0.7767   |
+| 0.3814        | 2.0   | 3000 | 0.5141          | 0.785    |
+| 0.3376        | 3.0   | 4500 | 0.5395          | 0.785    |
 ### Framework versions