slickdata
/

finetuned-Sentiment-classfication-BERT-model

Text Classification

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text-embeddings-inference

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slickdata commited on Jul 16, 2023

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update model card README.md

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@@ -14,8 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6317
-- Rmse: 0.6850
 ## Model description
@@ -49,7 +49,7 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Rmse   |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.6952        | 4.0   | 500  | 0.6317          | 0.6850 |
 ### Framework versions

 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.6176
+- Rmse: 0.6707
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Rmse   |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.6783        | 4.0   | 500  | 0.6176          | 0.6707 |
 ### Framework versions