elitenandu
/

distilbert-stock-tweet-sentiment-analysis

Text Classification

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elitenandu commited on May 1

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25e977b

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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-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6589
-- Accuracy: 0.7675
 ## Model description
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.689         | 1.0   | 1000 | 0.6030          | 0.7565   |
-| 0.4797        | 2.0   | 2000 | 0.5955          | 0.7642   |
-| 0.3619        | 3.0   | 3000 | 0.6589          | 0.7675   |
 ### Framework versions

 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.5815
+- Accuracy: 0.781
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.7065        | 1.0   | 1000 | 0.5816          | 0.7628   |
+| 0.4915        | 2.0   | 2000 | 0.5666          | 0.7762   |
+| 0.3766        | 3.0   | 3000 | 0.5815          | 0.781    |
 ### Framework versions