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bert-base-finance-sentiment-noisy-search

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Finance-sentiment-analysis

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oferweintraub commited on Feb 17, 2022

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update model card README.md

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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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8400
-- Accuracy: 0.8674
 ## Model description
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4852        | 1.0   | 1022 | 0.4865          | 0.8326   |
-| 0.3445        | 2.0   | 2044 | 0.5594          | 0.8478   |
-| 0.2096        | 3.0   | 3066 | 0.6503          | 0.8571   |
-| 0.097         | 4.0   | 4088 | 0.7111          | 0.8652   |
-| 0.0539        | 5.0   | 5110 | 0.8400          | 0.8674   |
 ### Framework versions

 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.7916
+- Accuracy: 0.8598
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.4737        | 1.0   | 1022 | 0.4748          | 0.8272   |
+| 0.3285        | 2.0   | 2044 | 0.4707          | 0.8457   |
+| 0.1882        | 3.0   | 3066 | 0.6275          | 0.8560   |
+| 0.1088        | 4.0   | 4088 | 0.6454          | 0.8614   |
+| 0.0574        | 5.0   | 5110 | 0.7916          | 0.8598   |
 ### Framework versions