Update README.md

README.md

@@ -19,7 +19,7 @@ pipeline_tag: text-classification
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-# ayatsuri/human-vs-machine-3
+# ayatsuri/academic-ai-detector
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on [NicolaiSivesind/human-vs-machine](https://huggingface.co/datasets/NicolaiSivesind/human-vs-machine) dataset.
 It achieves the following best results on the evaluation set:
@@ -57,13 +57,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Train Loss | Train Accuracy | Train Recall | Train Precision | Train F1 |
-|:----------:|:--------------:|:------------:|:---------------:|:--------:|
-| 0.0910     | 0.9937         | 0.9927       | 0.9947          | 0.9937   |
-
-| Validation Loss | Validation Accuracy | Validation Recall | Validation Precision | Validation F1 |
-|:---------------:|:-------------------:|:-----------------:|:--------------------:|:-------------:|
-| 0.0326          | 0.99                | 0.986             | 0.9940               | 0.9900        |
+| Set        | Loss   | Accuracy | Recall | Precision | F1     |
+|:----------:|:------:|:--------:|:------:|:---------:|:------:|
+| Train      | 0.0910 | 0.9937   | 0.9927 | 0.9947    | 0.9937 |
+| Validation | 0.0326 | 0.99     | 0.986  | 0.9940    | 0.9900 |
 
 ### Framework versions