cedomin
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Task1a_class

Text Classification

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text-embeddings-inference

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cedomin commited on Mar 30, 2023

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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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5662
-- Accuracy: 0.7714
 ## Model description
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 18   | 0.6871          | 0.5143   |
-| No log        | 2.0   | 36   | 0.6455          | 0.5143   |
-| No log        | 3.0   | 54   | 0.5974          | 0.6857   |
-| No log        | 4.0   | 72   | 0.5614          | 0.7429   |
-| No log        | 5.0   | 90   | 0.5662          | 0.7714   |
 ### Framework versions

 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.6328
+- Accuracy: 0.6571
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 18   | 0.6611          | 0.6286   |
+| No log        | 2.0   | 36   | 0.6697          | 0.6286   |
+| No log        | 3.0   | 54   | 0.6400          | 0.6286   |
+| No log        | 4.0   | 72   | 0.6460          | 0.6      |
+| No log        | 5.0   | 90   | 0.6328          | 0.6571   |
 ### Framework versions