Update README.md

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: Vasanth/bert-base-uncased-finetuned-emotion
+base_model: google-bert/bert-base-uncased
 tags:
 - generated_from_keras_callback
 model-index:
@@ -13,15 +13,15 @@ probably proofread and complete it, then remove this comment. -->
 
 # reem442/Bert
 
-This model is a fine-tuned version of [Vasanth/bert-base-uncased-finetuned-emotion](https://huggingface.co/Vasanth/bert-base-uncased-finetuned-emotion) on an unknown dataset.
+This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Train Loss: 0.0990
 - Train Accuracy: 0.947
 - Validation Loss: 0.1458
 - Validation Accuracy: 0.9470
-- Train Precision: 0.9490
-- Train Recall: 0.947
-- Train F1: 0.9466
+- Validation Precision: 0.9490
+- Validation Recall: 0.947
+- Validation F1: 0.9466
 - Epoch: 2
 
 ## Model description
@@ -46,7 +46,7 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Train Precision | Train Recall | Train F1 | Epoch |
+| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Validation Precision | Validation Recall | Validation F1 | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
 | 0.1750     | 0.943          | 0.1579          | 0.9430              | 0.9447          | 0.943        | 0.9426   | 0     |
 | 0.1194     | 0.9415         | 0.1589          | 0.9415              | 0.9434          | 0.9415       | 0.9409   | 1     |