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Update README.md

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  ---
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  license: apache-2.0
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- base_model: Vasanth/bert-base-uncased-finetuned-emotion
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  tags:
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  - generated_from_keras_callback
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  model-index:
@@ -13,15 +13,15 @@ probably proofread and complete it, then remove this comment. -->
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  # reem442/Bert
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- 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.
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  It achieves the following results on the evaluation set:
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  - Train Loss: 0.0990
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  - Train Accuracy: 0.947
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  - Validation Loss: 0.1458
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  - Validation Accuracy: 0.9470
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- - Train Precision: 0.9490
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- - Train Recall: 0.947
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- - Train F1: 0.9466
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  - Epoch: 2
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  ## Model description
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  ### Training results
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- | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Train Precision | Train Recall | Train F1 | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
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  | 0.1750 | 0.943 | 0.1579 | 0.9430 | 0.9447 | 0.943 | 0.9426 | 0 |
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  | 0.1194 | 0.9415 | 0.1589 | 0.9415 | 0.9434 | 0.9415 | 0.9409 | 1 |
 
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  ---
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  license: apache-2.0
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+ base_model: google-bert/bert-base-uncased
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  tags:
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  - generated_from_keras_callback
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  model-index:
 
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  # reem442/Bert
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+ 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.
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  It achieves the following results on the evaluation set:
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  - Train Loss: 0.0990
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  - Train Accuracy: 0.947
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  - Validation Loss: 0.1458
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  - Validation Accuracy: 0.9470
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+ - Validation Precision: 0.9490
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+ - Validation Recall: 0.947
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+ - Validation F1: 0.9466
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  - Epoch: 2
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  ## Model description
 
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  ### Training results
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+ | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Validation Precision | Validation Recall | Validation F1 | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
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  | 0.1750 | 0.943 | 0.1579 | 0.9430 | 0.9447 | 0.943 | 0.9426 | 0 |
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  | 0.1194 | 0.9415 | 0.1589 | 0.9415 | 0.9434 | 0.9415 | 0.9409 | 1 |